{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import poly_yolo as yolo #or \"import poly_yolo_lite as yolo\" for the lite version\n",
    "#import poly_yolo_lite as yolo\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)\n",
    "import keras\n",
    "from keras.models import model_from_json, load_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "models/poly_yolo.h5 model, anchors, and classes loaded.\n"
     ]
    }
   ],
   "source": [
    "#Set the learning phase to Test since the model is already trained.\n",
    "keras.backend.set_learning_phase(0)\n",
    "\n",
    "#load pretrained model\n",
    "#if you want to detect more objects, lower the score and vice versa\n",
    "trained_model = yolo.YOLO(model_path='models/poly_yolo.h5', iou=0.5, score=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tensor(\"input_2:0\", shape=(?, ?, ?, 3), dtype=float32)\n",
      "Tensor(\"conv2d_138/BiasAdd:0\", shape=(?, ?, ?, 810), dtype=float32)\n"
     ]
    }
   ],
   "source": [
    "print(trained_model.yolo_model.layers[0].input)\n",
    "print(trained_model.yolo_model.layers[-1].output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'./poly_yolo_pynq.pb'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#save checkpoint\n",
    "saver = tf.train.Saver()\n",
    "tf_session = keras.backend.get_session()\n",
    "input_graph_def = tf_session.graph.as_graph_def()\n",
    "save_path = saver.save(tf_session, './checkpoint.ckpt')\n",
    "tf.train.write_graph(input_graph_def,\n",
    "                     './', 'poly_yolo_pynq.pb', as_text=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['input_1', 'conv2d_1/random_uniform/shape', 'conv2d_1/random_uniform/min', 'conv2d_1/random_uniform/max', 'conv2d_1/random_uniform/RandomUniform', 'conv2d_1/random_uniform/sub', 'conv2d_1/random_uniform/mul', 'conv2d_1/random_uniform', 'conv2d_1/kernel', 'conv2d_1/kernel/Assign', 'conv2d_1/kernel/read', 'conv2d_1/weight_regularizer/Square', 'conv2d_1/weight_regularizer/Const', 'conv2d_1/weight_regularizer/Sum', 'conv2d_1/weight_regularizer/mul/x', 'conv2d_1/weight_regularizer/mul', 'conv2d_1/weight_regularizer/add/x', 'conv2d_1/weight_regularizer/add', 'conv2d_1/convolution', 'batch_normalization_1/Const', 'batch_normalization_1/gamma', 'batch_normalization_1/gamma/Assign', 'batch_normalization_1/gamma/read', 'batch_normalization_1/Const_1', 'batch_normalization_1/beta', 'batch_normalization_1/beta/Assign', 'batch_normalization_1/beta/read', 'batch_normalization_1/Const_2', 'batch_normalization_1/moving_mean', 'batch_normalization_1/moving_mean/Assign', 'batch_normalization_1/moving_mean/read', 'batch_normalization_1/Const_3', 'batch_normalization_1/moving_variance', 'batch_normalization_1/moving_variance/Assign', 'batch_normalization_1/moving_variance/read', 'batch_normalization_1/IsVariableInitialized', 'batch_normalization_1/IsVariableInitialized_1', 'batch_normalization_1/IsVariableInitialized_2', 'batch_normalization_1/IsVariableInitialized_3', 'batch_normalization_1/IsVariableInitialized_4', 'batch_normalization_1/init', 'batch_normalization_1/Const_4', 'batch_normalization_1/Const_5', 'batch_normalization_1/FusedBatchNormV3', 'batch_normalization_1/Shape', 'batch_normalization_1/strided_slice/stack', 'batch_normalization_1/strided_slice/stack_1', 'batch_normalization_1/strided_slice/stack_2', 'batch_normalization_1/strided_slice', 'batch_normalization_1/Shape_1', 'batch_normalization_1/strided_slice_1/stack', 'batch_normalization_1/strided_slice_1/stack_1', 'batch_normalization_1/strided_slice_1/stack_2', 'batch_normalization_1/strided_slice_1', 'batch_normalization_1/Shape_2', 'batch_normalization_1/strided_slice_2/stack', 'batch_normalization_1/strided_slice_2/stack_1', 'batch_normalization_1/strided_slice_2/stack_2', 'batch_normalization_1/strided_slice_2', 'batch_normalization_1/Rank/packed', 'batch_normalization_1/Rank', 'batch_normalization_1/range/start', 'batch_normalization_1/range/delta', 'batch_normalization_1/range', 'batch_normalization_1/Prod/input', 'batch_normalization_1/Prod', 'batch_normalization_1/Cast_2', 'batch_normalization_1/sub/y', 'batch_normalization_1/sub', 'batch_normalization_1/truediv', 'batch_normalization_1/mul', 'batch_normalization_1/AssignMovingAvg/decay', 'batch_normalization_1/moving_mean/biased/Initializer/zeros', 'batch_normalization_1/moving_mean/biased', 'batch_normalization_1/moving_mean/biased/Assign', 'batch_normalization_1/moving_mean/biased/read', 'batch_normalization_1/moving_mean/local_step/Initializer/zeros', 'batch_normalization_1/moving_mean/local_step', 'batch_normalization_1/moving_mean/local_step/Assign', 'batch_normalization_1/moving_mean/local_step/read', 'batch_normalization_1/AssignMovingAvg/sub', 'batch_normalization_1/AssignMovingAvg/mul', 'batch_normalization_1/AssignMovingAvg/AssignSub', 'batch_normalization_1/AssignMovingAvg/AssignAdd/value', 'batch_normalization_1/AssignMovingAvg/AssignAdd', 'batch_normalization_1/AssignMovingAvg/sub_1/x', 'batch_normalization_1/AssignMovingAvg/sub_1', 'batch_normalization_1/AssignMovingAvg/Pow', 'batch_normalization_1/AssignMovingAvg/sub_2/x', 'batch_normalization_1/AssignMovingAvg/sub_2', 'batch_normalization_1/AssignMovingAvg/truediv', 'batch_normalization_1/AssignMovingAvg', 'batch_normalization_1/AssignMovingAvg_1/decay', 'batch_normalization_1/moving_variance/biased/Initializer/zeros', 'batch_normalization_1/moving_variance/biased', 'batch_normalization_1/moving_variance/biased/Assign', 'batch_normalization_1/moving_variance/biased/read', 'batch_normalization_1/moving_variance/local_step/Initializer/zeros', 'batch_normalization_1/moving_variance/local_step', 'batch_normalization_1/moving_variance/local_step/Assign', 'batch_normalization_1/moving_variance/local_step/read', 'batch_normalization_1/AssignMovingAvg_1/sub', 'batch_normalization_1/AssignMovingAvg_1/mul', 'batch_normalization_1/AssignMovingAvg_1/AssignSub', 'batch_normalization_1/AssignMovingAvg_1/AssignAdd/value', 'batch_normalization_1/AssignMovingAvg_1/AssignAdd', 'batch_normalization_1/AssignMovingAvg_1/sub_1/x', 'batch_normalization_1/AssignMovingAvg_1/sub_1', 'batch_normalization_1/AssignMovingAvg_1/Pow', 'batch_normalization_1/AssignMovingAvg_1/sub_2/x', 'batch_normalization_1/AssignMovingAvg_1/sub_2', 'batch_normalization_1/AssignMovingAvg_1/truediv', 'batch_normalization_1/AssignMovingAvg_1', 'batch_normalization_1/FusedBatchNormV3_1', 'leaky_re_lu_1/LeakyRelu', 'zero_padding2d_1/Pad/paddings', 'zero_padding2d_1/Pad', 'conv2d_2/random_uniform/shape', 'conv2d_2/random_uniform/min', 'conv2d_2/random_uniform/max', 'conv2d_2/random_uniform/RandomUniform', 'conv2d_2/random_uniform/sub', 'conv2d_2/random_uniform/mul', 'conv2d_2/random_uniform', 'conv2d_2/kernel', 'conv2d_2/kernel/Assign', 'conv2d_2/kernel/read', 'conv2d_2/weight_regularizer/Square', 'conv2d_2/weight_regularizer/Const', 'conv2d_2/weight_regularizer/Sum', 'conv2d_2/weight_regularizer/mul/x', 'conv2d_2/weight_regularizer/mul', 'conv2d_2/weight_regularizer/add/x', 'conv2d_2/weight_regularizer/add', 'conv2d_2/convolution', 'batch_normalization_2/Const', 'batch_normalization_2/gamma', 'batch_normalization_2/gamma/Assign', 'batch_normalization_2/gamma/read', 'batch_normalization_2/Const_1', 'batch_normalization_2/beta', 'batch_normalization_2/beta/Assign', 'batch_normalization_2/beta/read', 'batch_normalization_2/Const_2', 'batch_normalization_2/moving_mean', 'batch_normalization_2/moving_mean/Assign', 'batch_normalization_2/moving_mean/read', 'batch_normalization_2/Const_3', 'batch_normalization_2/moving_variance', 'batch_normalization_2/moving_variance/Assign', 'batch_normalization_2/moving_variance/read', 'batch_normalization_2/Const_4', 'batch_normalization_2/Const_5', 'batch_normalization_2/FusedBatchNormV3', 'batch_normalization_2/Shape', 'batch_normalization_2/strided_slice/stack', 'batch_normalization_2/strided_slice/stack_1', 'batch_normalization_2/strided_slice/stack_2', 'batch_normalization_2/strided_slice', 'batch_normalization_2/Shape_1', 'batch_normalization_2/strided_slice_1/stack', 'batch_normalization_2/strided_slice_1/stack_1', 'batch_normalization_2/strided_slice_1/stack_2', 'batch_normalization_2/strided_slice_1', 'batch_normalization_2/Shape_2', 'batch_normalization_2/strided_slice_2/stack', 'batch_normalization_2/strided_slice_2/stack_1', 'batch_normalization_2/strided_slice_2/stack_2', 'batch_normalization_2/strided_slice_2', 'batch_normalization_2/Rank/packed', 'batch_normalization_2/Rank', 'batch_normalization_2/range/start', 'batch_normalization_2/range/delta', 'batch_normalization_2/range', 'batch_normalization_2/Prod/input', 'batch_normalization_2/Prod', 'batch_normalization_2/Cast_2', 'batch_normalization_2/sub/y', 'batch_normalization_2/sub', 'batch_normalization_2/truediv', 'batch_normalization_2/mul', 'batch_normalization_2/AssignMovingAvg/decay', 'batch_normalization_2/moving_mean/biased/Initializer/zeros', 'batch_normalization_2/moving_mean/biased', 'batch_normalization_2/moving_mean/biased/Assign', 'batch_normalization_2/moving_mean/biased/read', 'batch_normalization_2/moving_mean/local_step/Initializer/zeros', 'batch_normalization_2/moving_mean/local_step', 'batch_normalization_2/moving_mean/local_step/Assign', 'batch_normalization_2/moving_mean/local_step/read', 'batch_normalization_2/AssignMovingAvg/sub', 'batch_normalization_2/AssignMovingAvg/mul', 'batch_normalization_2/AssignMovingAvg/AssignSub', 'batch_normalization_2/AssignMovingAvg/AssignAdd/value', 'batch_normalization_2/AssignMovingAvg/AssignAdd', 'batch_normalization_2/AssignMovingAvg/sub_1/x', 'batch_normalization_2/AssignMovingAvg/sub_1', 'batch_normalization_2/AssignMovingAvg/Pow', 'batch_normalization_2/AssignMovingAvg/sub_2/x', 'batch_normalization_2/AssignMovingAvg/sub_2', 'batch_normalization_2/AssignMovingAvg/truediv', 'batch_normalization_2/AssignMovingAvg', 'batch_normalization_2/AssignMovingAvg_1/decay', 'batch_normalization_2/moving_variance/biased/Initializer/zeros', 'batch_normalization_2/moving_variance/biased', 'batch_normalization_2/moving_variance/biased/Assign', 'batch_normalization_2/moving_variance/biased/read', 'batch_normalization_2/moving_variance/local_step/Initializer/zeros', 'batch_normalization_2/moving_variance/local_step', 'batch_normalization_2/moving_variance/local_step/Assign', 'batch_normalization_2/moving_variance/local_step/read', 'batch_normalization_2/AssignMovingAvg_1/sub', 'batch_normalization_2/AssignMovingAvg_1/mul', 'batch_normalization_2/AssignMovingAvg_1/AssignSub', 'batch_normalization_2/AssignMovingAvg_1/AssignAdd/value', 'batch_normalization_2/AssignMovingAvg_1/AssignAdd', 'batch_normalization_2/AssignMovingAvg_1/sub_1/x', 'batch_normalization_2/AssignMovingAvg_1/sub_1', 'batch_normalization_2/AssignMovingAvg_1/Pow', 'batch_normalization_2/AssignMovingAvg_1/sub_2/x', 'batch_normalization_2/AssignMovingAvg_1/sub_2', 'batch_normalization_2/AssignMovingAvg_1/truediv', 'batch_normalization_2/AssignMovingAvg_1', 'batch_normalization_2/FusedBatchNormV3_1', 'leaky_re_lu_2/LeakyRelu', 'conv2d_3/random_uniform/shape', 'conv2d_3/random_uniform/min', 'conv2d_3/random_uniform/max', 'conv2d_3/random_uniform/RandomUniform', 'conv2d_3/random_uniform/sub', 'conv2d_3/random_uniform/mul', 'conv2d_3/random_uniform', 'conv2d_3/kernel', 'conv2d_3/kernel/Assign', 'conv2d_3/kernel/read', 'conv2d_3/weight_regularizer/Square', 'conv2d_3/weight_regularizer/Const', 'conv2d_3/weight_regularizer/Sum', 'conv2d_3/weight_regularizer/mul/x', 'conv2d_3/weight_regularizer/mul', 'conv2d_3/weight_regularizer/add/x', 'conv2d_3/weight_regularizer/add', 'conv2d_3/convolution', 'batch_normalization_3/Const', 'batch_normalization_3/gamma', 'batch_normalization_3/gamma/Assign', 'batch_normalization_3/gamma/read', 'batch_normalization_3/Const_1', 'batch_normalization_3/beta', 'batch_normalization_3/beta/Assign', 'batch_normalization_3/beta/read', 'batch_normalization_3/Const_2', 'batch_normalization_3/moving_mean', 'batch_normalization_3/moving_mean/Assign', 'batch_normalization_3/moving_mean/read', 'batch_normalization_3/Const_3', 'batch_normalization_3/moving_variance', 'batch_normalization_3/moving_variance/Assign', 'batch_normalization_3/moving_variance/read', 'batch_normalization_3/Const_4', 'batch_normalization_3/Const_5', 'batch_normalization_3/FusedBatchNormV3', 'batch_normalization_3/Shape', 'batch_normalization_3/strided_slice/stack', 'batch_normalization_3/strided_slice/stack_1', 'batch_normalization_3/strided_slice/stack_2', 'batch_normalization_3/strided_slice', 'batch_normalization_3/Shape_1', 'batch_normalization_3/strided_slice_1/stack', 'batch_normalization_3/strided_slice_1/stack_1', 'batch_normalization_3/strided_slice_1/stack_2', 'batch_normalization_3/strided_slice_1', 'batch_normalization_3/Shape_2', 'batch_normalization_3/strided_slice_2/stack', 'batch_normalization_3/strided_slice_2/stack_1', 'batch_normalization_3/strided_slice_2/stack_2', 'batch_normalization_3/strided_slice_2', 'batch_normalization_3/Rank/packed', 'batch_normalization_3/Rank', 'batch_normalization_3/range/start', 'batch_normalization_3/range/delta', 'batch_normalization_3/range', 'batch_normalization_3/Prod/input', 'batch_normalization_3/Prod', 'batch_normalization_3/Cast_2', 'batch_normalization_3/sub/y', 'batch_normalization_3/sub', 'batch_normalization_3/truediv', 'batch_normalization_3/mul', 'batch_normalization_3/AssignMovingAvg/decay', 'batch_normalization_3/moving_mean/biased/Initializer/zeros', 'batch_normalization_3/moving_mean/biased', 'batch_normalization_3/moving_mean/biased/Assign', 'batch_normalization_3/moving_mean/biased/read', 'batch_normalization_3/moving_mean/local_step/Initializer/zeros', 'batch_normalization_3/moving_mean/local_step', 'batch_normalization_3/moving_mean/local_step/Assign', 'batch_normalization_3/moving_mean/local_step/read', 'batch_normalization_3/AssignMovingAvg/sub', 'batch_normalization_3/AssignMovingAvg/mul', 'batch_normalization_3/AssignMovingAvg/AssignSub', 'batch_normalization_3/AssignMovingAvg/AssignAdd/value', 'batch_normalization_3/AssignMovingAvg/AssignAdd', 'batch_normalization_3/AssignMovingAvg/sub_1/x', 'batch_normalization_3/AssignMovingAvg/sub_1', 'batch_normalization_3/AssignMovingAvg/Pow', 'batch_normalization_3/AssignMovingAvg/sub_2/x', 'batch_normalization_3/AssignMovingAvg/sub_2', 'batch_normalization_3/AssignMovingAvg/truediv', 'batch_normalization_3/AssignMovingAvg', 'batch_normalization_3/AssignMovingAvg_1/decay', 'batch_normalization_3/moving_variance/biased/Initializer/zeros', 'batch_normalization_3/moving_variance/biased', 'batch_normalization_3/moving_variance/biased/Assign', 'batch_normalization_3/moving_variance/biased/read', 'batch_normalization_3/moving_variance/local_step/Initializer/zeros', 'batch_normalization_3/moving_variance/local_step', 'batch_normalization_3/moving_variance/local_step/Assign', 'batch_normalization_3/moving_variance/local_step/read', 'batch_normalization_3/AssignMovingAvg_1/sub', 'batch_normalization_3/AssignMovingAvg_1/mul', 'batch_normalization_3/AssignMovingAvg_1/AssignSub', 'batch_normalization_3/AssignMovingAvg_1/AssignAdd/value', 'batch_normalization_3/AssignMovingAvg_1/AssignAdd', 'batch_normalization_3/AssignMovingAvg_1/sub_1/x', 'batch_normalization_3/AssignMovingAvg_1/sub_1', 'batch_normalization_3/AssignMovingAvg_1/Pow', 'batch_normalization_3/AssignMovingAvg_1/sub_2/x', 'batch_normalization_3/AssignMovingAvg_1/sub_2', 'batch_normalization_3/AssignMovingAvg_1/truediv', 'batch_normalization_3/AssignMovingAvg_1', 'batch_normalization_3/FusedBatchNormV3_1', 'leaky_re_lu_3/LeakyRelu', 'conv2d_4/random_uniform/shape', 'conv2d_4/random_uniform/min', 'conv2d_4/random_uniform/max', 'conv2d_4/random_uniform/RandomUniform', 'conv2d_4/random_uniform/sub', 'conv2d_4/random_uniform/mul', 'conv2d_4/random_uniform', 'conv2d_4/kernel', 'conv2d_4/kernel/Assign', 'conv2d_4/kernel/read', 'conv2d_4/weight_regularizer/Square', 'conv2d_4/weight_regularizer/Const', 'conv2d_4/weight_regularizer/Sum', 'conv2d_4/weight_regularizer/mul/x', 'conv2d_4/weight_regularizer/mul', 'conv2d_4/weight_regularizer/add/x', 'conv2d_4/weight_regularizer/add', 'conv2d_4/convolution', 'batch_normalization_4/Const', 'batch_normalization_4/gamma', 'batch_normalization_4/gamma/Assign', 'batch_normalization_4/gamma/read', 'batch_normalization_4/Const_1', 'batch_normalization_4/beta', 'batch_normalization_4/beta/Assign', 'batch_normalization_4/beta/read', 'batch_normalization_4/Const_2', 'batch_normalization_4/moving_mean', 'batch_normalization_4/moving_mean/Assign', 'batch_normalization_4/moving_mean/read', 'batch_normalization_4/Const_3', 'batch_normalization_4/moving_variance', 'batch_normalization_4/moving_variance/Assign', 'batch_normalization_4/moving_variance/read', 'batch_normalization_4/Const_4', 'batch_normalization_4/Const_5', 'batch_normalization_4/FusedBatchNormV3', 'batch_normalization_4/Shape', 'batch_normalization_4/strided_slice/stack', 'batch_normalization_4/strided_slice/stack_1', 'batch_normalization_4/strided_slice/stack_2', 'batch_normalization_4/strided_slice', 'batch_normalization_4/Shape_1', 'batch_normalization_4/strided_slice_1/stack', 'batch_normalization_4/strided_slice_1/stack_1', 'batch_normalization_4/strided_slice_1/stack_2', 'batch_normalization_4/strided_slice_1', 'batch_normalization_4/Shape_2', 'batch_normalization_4/strided_slice_2/stack', 'batch_normalization_4/strided_slice_2/stack_1', 'batch_normalization_4/strided_slice_2/stack_2', 'batch_normalization_4/strided_slice_2', 'batch_normalization_4/Rank/packed', 'batch_normalization_4/Rank', 'batch_normalization_4/range/start', 'batch_normalization_4/range/delta', 'batch_normalization_4/range', 'batch_normalization_4/Prod/input', 'batch_normalization_4/Prod', 'batch_normalization_4/Cast_2', 'batch_normalization_4/sub/y', 'batch_normalization_4/sub', 'batch_normalization_4/truediv', 'batch_normalization_4/mul', 'batch_normalization_4/AssignMovingAvg/decay', 'batch_normalization_4/moving_mean/biased/Initializer/zeros', 'batch_normalization_4/moving_mean/biased', 'batch_normalization_4/moving_mean/biased/Assign', 'batch_normalization_4/moving_mean/biased/read', 'batch_normalization_4/moving_mean/local_step/Initializer/zeros', 'batch_normalization_4/moving_mean/local_step', 'batch_normalization_4/moving_mean/local_step/Assign', 'batch_normalization_4/moving_mean/local_step/read', 'batch_normalization_4/AssignMovingAvg/sub', 'batch_normalization_4/AssignMovingAvg/mul', 'batch_normalization_4/AssignMovingAvg/AssignSub', 'batch_normalization_4/AssignMovingAvg/AssignAdd/value', 'batch_normalization_4/AssignMovingAvg/AssignAdd', 'batch_normalization_4/AssignMovingAvg/sub_1/x', 'batch_normalization_4/AssignMovingAvg/sub_1', 'batch_normalization_4/AssignMovingAvg/Pow', 'batch_normalization_4/AssignMovingAvg/sub_2/x', 'batch_normalization_4/AssignMovingAvg/sub_2', 'batch_normalization_4/AssignMovingAvg/truediv', 'batch_normalization_4/AssignMovingAvg', 'batch_normalization_4/AssignMovingAvg_1/decay', 'batch_normalization_4/moving_variance/biased/Initializer/zeros', 'batch_normalization_4/moving_variance/biased', 'batch_normalization_4/moving_variance/biased/Assign', 'batch_normalization_4/moving_variance/biased/read', 'batch_normalization_4/moving_variance/local_step/Initializer/zeros', 'batch_normalization_4/moving_variance/local_step', 'batch_normalization_4/moving_variance/local_step/Assign', 'batch_normalization_4/moving_variance/local_step/read', 'batch_normalization_4/AssignMovingAvg_1/sub', 'batch_normalization_4/AssignMovingAvg_1/mul', 'batch_normalization_4/AssignMovingAvg_1/AssignSub', 'batch_normalization_4/AssignMovingAvg_1/AssignAdd/value', 'batch_normalization_4/AssignMovingAvg_1/AssignAdd', 'batch_normalization_4/AssignMovingAvg_1/sub_1/x', 'batch_normalization_4/AssignMovingAvg_1/sub_1', 'batch_normalization_4/AssignMovingAvg_1/Pow', 'batch_normalization_4/AssignMovingAvg_1/sub_2/x', 'batch_normalization_4/AssignMovingAvg_1/sub_2', 'batch_normalization_4/AssignMovingAvg_1/truediv', 'batch_normalization_4/AssignMovingAvg_1', 'batch_normalization_4/FusedBatchNormV3_1', 'leaky_re_lu_4/LeakyRelu', 'global_average_pooling2d_1/Mean/reduction_indices', 'global_average_pooling2d_1/Mean', 'reshape_1/Shape', 'reshape_1/strided_slice/stack', 'reshape_1/strided_slice/stack_1', 'reshape_1/strided_slice/stack_2', 'reshape_1/strided_slice', 'reshape_1/Reshape/shape/1', 'reshape_1/Reshape/shape/2', 'reshape_1/Reshape/shape/3', 'reshape_1/Reshape/shape', 'reshape_1/Reshape', 'dense_1/truncated_normal/shape', 'dense_1/truncated_normal/mean', 'dense_1/truncated_normal/stddev', 'dense_1/truncated_normal/TruncatedNormal', 'dense_1/truncated_normal/mul', 'dense_1/truncated_normal', 'dense_1/kernel', 'dense_1/kernel/Assign', 'dense_1/kernel/read', 'dense_1/Shape', 'dense_1/unstack', 'dense_1/Shape_1', 'dense_1/unstack_1', 'dense_1/Reshape/shape', 'dense_1/Reshape', 'dense_1/transpose/perm', 'dense_1/transpose', 'dense_1/Reshape_1/shape', 'dense_1/Reshape_1', 'dense_1/MatMul', 'dense_1/Reshape_2/shape/1', 'dense_1/Reshape_2/shape/2', 'dense_1/Reshape_2/shape/3', 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'conv2d_5/random_uniform/mul', 'conv2d_5/random_uniform', 'conv2d_5/kernel', 'conv2d_5/kernel/Assign', 'conv2d_5/kernel/read', 'conv2d_5/weight_regularizer/Square', 'conv2d_5/weight_regularizer/Const', 'conv2d_5/weight_regularizer/Sum', 'conv2d_5/weight_regularizer/mul/x', 'conv2d_5/weight_regularizer/mul', 'conv2d_5/weight_regularizer/add/x', 'conv2d_5/weight_regularizer/add', 'conv2d_5/convolution', 'batch_normalization_5/Const', 'batch_normalization_5/gamma', 'batch_normalization_5/gamma/Assign', 'batch_normalization_5/gamma/read', 'batch_normalization_5/Const_1', 'batch_normalization_5/beta', 'batch_normalization_5/beta/Assign', 'batch_normalization_5/beta/read', 'batch_normalization_5/Const_2', 'batch_normalization_5/moving_mean', 'batch_normalization_5/moving_mean/Assign', 'batch_normalization_5/moving_mean/read', 'batch_normalization_5/Const_3', 'batch_normalization_5/moving_variance', 'batch_normalization_5/moving_variance/Assign', 'batch_normalization_5/moving_variance/read', 'batch_normalization_5/Const_4', 'batch_normalization_5/Const_5', 'batch_normalization_5/FusedBatchNormV3', 'batch_normalization_5/Shape', 'batch_normalization_5/strided_slice/stack', 'batch_normalization_5/strided_slice/stack_1', 'batch_normalization_5/strided_slice/stack_2', 'batch_normalization_5/strided_slice', 'batch_normalization_5/Shape_1', 'batch_normalization_5/strided_slice_1/stack', 'batch_normalization_5/strided_slice_1/stack_1', 'batch_normalization_5/strided_slice_1/stack_2', 'batch_normalization_5/strided_slice_1', 'batch_normalization_5/Shape_2', 'batch_normalization_5/strided_slice_2/stack', 'batch_normalization_5/strided_slice_2/stack_1', 'batch_normalization_5/strided_slice_2/stack_2', 'batch_normalization_5/strided_slice_2', 'batch_normalization_5/Rank/packed', 'batch_normalization_5/Rank', 'batch_normalization_5/range/start', 'batch_normalization_5/range/delta', 'batch_normalization_5/range', 'batch_normalization_5/Prod/input', 'batch_normalization_5/Prod', 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'batch_normalization_6/Const', 'batch_normalization_6/gamma', 'batch_normalization_6/gamma/Assign', 'batch_normalization_6/gamma/read', 'batch_normalization_6/Const_1', 'batch_normalization_6/beta', 'batch_normalization_6/beta/Assign', 'batch_normalization_6/beta/read', 'batch_normalization_6/Const_2', 'batch_normalization_6/moving_mean', 'batch_normalization_6/moving_mean/Assign', 'batch_normalization_6/moving_mean/read', 'batch_normalization_6/Const_3', 'batch_normalization_6/moving_variance', 'batch_normalization_6/moving_variance/Assign', 'batch_normalization_6/moving_variance/read', 'batch_normalization_6/Const_4', 'batch_normalization_6/Const_5', 'batch_normalization_6/FusedBatchNormV3', 'batch_normalization_6/Shape', 'batch_normalization_6/strided_slice/stack', 'batch_normalization_6/strided_slice/stack_1', 'batch_normalization_6/strided_slice/stack_2', 'batch_normalization_6/strided_slice', 'batch_normalization_6/Shape_1', 'batch_normalization_6/strided_slice_1/stack', 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'batch_normalization_7/moving_mean/Assign', 'batch_normalization_7/moving_mean/read', 'batch_normalization_7/Const_3', 'batch_normalization_7/moving_variance', 'batch_normalization_7/moving_variance/Assign', 'batch_normalization_7/moving_variance/read', 'batch_normalization_7/Const_4', 'batch_normalization_7/Const_5', 'batch_normalization_7/FusedBatchNormV3', 'batch_normalization_7/Shape', 'batch_normalization_7/strided_slice/stack', 'batch_normalization_7/strided_slice/stack_1', 'batch_normalization_7/strided_slice/stack_2', 'batch_normalization_7/strided_slice', 'batch_normalization_7/Shape_1', 'batch_normalization_7/strided_slice_1/stack', 'batch_normalization_7/strided_slice_1/stack_1', 'batch_normalization_7/strided_slice_1/stack_2', 'batch_normalization_7/strided_slice_1', 'batch_normalization_7/Shape_2', 'batch_normalization_7/strided_slice_2/stack', 'batch_normalization_7/strided_slice_2/stack_1', 'batch_normalization_7/strided_slice_2/stack_2', 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'batch_normalization_31/moving_mean/biased/Initializer/zeros', 'batch_normalization_31/moving_mean/biased', 'batch_normalization_31/moving_mean/biased/Assign', 'batch_normalization_31/moving_mean/biased/read', 'batch_normalization_31/moving_mean/local_step/Initializer/zeros', 'batch_normalization_31/moving_mean/local_step', 'batch_normalization_31/moving_mean/local_step/Assign', 'batch_normalization_31/moving_mean/local_step/read', 'batch_normalization_31/AssignMovingAvg/sub', 'batch_normalization_31/AssignMovingAvg/mul', 'batch_normalization_31/AssignMovingAvg/AssignSub', 'batch_normalization_31/AssignMovingAvg/AssignAdd/value', 'batch_normalization_31/AssignMovingAvg/AssignAdd', 'batch_normalization_31/AssignMovingAvg/sub_1/x', 'batch_normalization_31/AssignMovingAvg/sub_1', 'batch_normalization_31/AssignMovingAvg/Pow', 'batch_normalization_31/AssignMovingAvg/sub_2/x', 'batch_normalization_31/AssignMovingAvg/sub_2', 'batch_normalization_31/AssignMovingAvg/truediv', 'batch_normalization_31/AssignMovingAvg', 'batch_normalization_31/AssignMovingAvg_1/decay', 'batch_normalization_31/moving_variance/biased/Initializer/zeros', 'batch_normalization_31/moving_variance/biased', 'batch_normalization_31/moving_variance/biased/Assign', 'batch_normalization_31/moving_variance/biased/read', 'batch_normalization_31/moving_variance/local_step/Initializer/zeros', 'batch_normalization_31/moving_variance/local_step', 'batch_normalization_31/moving_variance/local_step/Assign', 'batch_normalization_31/moving_variance/local_step/read', 'batch_normalization_31/AssignMovingAvg_1/sub', 'batch_normalization_31/AssignMovingAvg_1/mul', 'batch_normalization_31/AssignMovingAvg_1/AssignSub', 'batch_normalization_31/AssignMovingAvg_1/AssignAdd/value', 'batch_normalization_31/AssignMovingAvg_1/AssignAdd', 'batch_normalization_31/AssignMovingAvg_1/sub_1/x', 'batch_normalization_31/AssignMovingAvg_1/sub_1', 'batch_normalization_31/AssignMovingAvg_1/Pow', 'batch_normalization_31/AssignMovingAvg_1/sub_2/x', 'batch_normalization_31/AssignMovingAvg_1/sub_2', 'batch_normalization_31/AssignMovingAvg_1/truediv', 'batch_normalization_31/AssignMovingAvg_1', 'batch_normalization_31/FusedBatchNormV3_1', 'leaky_re_lu_43/LeakyRelu', 'global_average_pooling2d_13/Mean/reduction_indices', 'global_average_pooling2d_13/Mean', 'reshape_13/Shape', 'reshape_13/strided_slice/stack', 'reshape_13/strided_slice/stack_1', 'reshape_13/strided_slice/stack_2', 'reshape_13/strided_slice', 'reshape_13/Reshape/shape/1', 'reshape_13/Reshape/shape/2', 'reshape_13/Reshape/shape/3', 'reshape_13/Reshape/shape', 'reshape_13/Reshape', 'dense_25/truncated_normal/shape', 'dense_25/truncated_normal/mean', 'dense_25/truncated_normal/stddev', 'dense_25/truncated_normal/TruncatedNormal', 'dense_25/truncated_normal/mul', 'dense_25/truncated_normal', 'dense_25/kernel', 'dense_25/kernel/Assign', 'dense_25/kernel/read', 'dense_25/Shape', 'dense_25/unstack', 'dense_25/Shape_1', 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'batch_normalization_32/strided_slice_2/stack_2', 'batch_normalization_32/strided_slice_2', 'batch_normalization_32/Rank/packed', 'batch_normalization_32/Rank', 'batch_normalization_32/range/start', 'batch_normalization_32/range/delta', 'batch_normalization_32/range', 'batch_normalization_32/Prod/input', 'batch_normalization_32/Prod', 'batch_normalization_32/Cast_2', 'batch_normalization_32/sub/y', 'batch_normalization_32/sub', 'batch_normalization_32/truediv', 'batch_normalization_32/mul', 'batch_normalization_32/AssignMovingAvg/decay', 'batch_normalization_32/moving_mean/biased/Initializer/zeros', 'batch_normalization_32/moving_mean/biased', 'batch_normalization_32/moving_mean/biased/Assign', 'batch_normalization_32/moving_mean/biased/read', 'batch_normalization_32/moving_mean/local_step/Initializer/zeros', 'batch_normalization_32/moving_mean/local_step', 'batch_normalization_32/moving_mean/local_step/Assign', 'batch_normalization_32/moving_mean/local_step/read', 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'batch_normalization_33/moving_variance/read', 'batch_normalization_33/Const_4', 'batch_normalization_33/Const_5', 'batch_normalization_33/FusedBatchNormV3', 'batch_normalization_33/Shape', 'batch_normalization_33/strided_slice/stack', 'batch_normalization_33/strided_slice/stack_1', 'batch_normalization_33/strided_slice/stack_2', 'batch_normalization_33/strided_slice', 'batch_normalization_33/Shape_1', 'batch_normalization_33/strided_slice_1/stack', 'batch_normalization_33/strided_slice_1/stack_1', 'batch_normalization_33/strided_slice_1/stack_2', 'batch_normalization_33/strided_slice_1', 'batch_normalization_33/Shape_2', 'batch_normalization_33/strided_slice_2/stack', 'batch_normalization_33/strided_slice_2/stack_1', 'batch_normalization_33/strided_slice_2/stack_2', 'batch_normalization_33/strided_slice_2', 'batch_normalization_33/Rank/packed', 'batch_normalization_33/Rank', 'batch_normalization_33/range/start', 'batch_normalization_33/range/delta', 'batch_normalization_33/range', 'batch_normalization_33/Prod/input', 'batch_normalization_33/Prod', 'batch_normalization_33/Cast_2', 'batch_normalization_33/sub/y', 'batch_normalization_33/sub', 'batch_normalization_33/truediv', 'batch_normalization_33/mul', 'batch_normalization_33/AssignMovingAvg/decay', 'batch_normalization_33/moving_mean/biased/Initializer/zeros', 'batch_normalization_33/moving_mean/biased', 'batch_normalization_33/moving_mean/biased/Assign', 'batch_normalization_33/moving_mean/biased/read', 'batch_normalization_33/moving_mean/local_step/Initializer/zeros', 'batch_normalization_33/moving_mean/local_step', 'batch_normalization_33/moving_mean/local_step/Assign', 'batch_normalization_33/moving_mean/local_step/read', 'batch_normalization_33/AssignMovingAvg/sub', 'batch_normalization_33/AssignMovingAvg/mul', 'batch_normalization_33/AssignMovingAvg/AssignSub', 'batch_normalization_33/AssignMovingAvg/AssignAdd/value', 'batch_normalization_33/AssignMovingAvg/AssignAdd', 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'batch_normalization_33/AssignMovingAvg_1/AssignSub', 'batch_normalization_33/AssignMovingAvg_1/AssignAdd/value', 'batch_normalization_33/AssignMovingAvg_1/AssignAdd', 'batch_normalization_33/AssignMovingAvg_1/sub_1/x', 'batch_normalization_33/AssignMovingAvg_1/sub_1', 'batch_normalization_33/AssignMovingAvg_1/Pow', 'batch_normalization_33/AssignMovingAvg_1/sub_2/x', 'batch_normalization_33/AssignMovingAvg_1/sub_2', 'batch_normalization_33/AssignMovingAvg_1/truediv', 'batch_normalization_33/AssignMovingAvg_1', 'batch_normalization_33/FusedBatchNormV3_1', 'leaky_re_lu_46/LeakyRelu', 'global_average_pooling2d_14/Mean/reduction_indices', 'global_average_pooling2d_14/Mean', 'reshape_14/Shape', 'reshape_14/strided_slice/stack', 'reshape_14/strided_slice/stack_1', 'reshape_14/strided_slice/stack_2', 'reshape_14/strided_slice', 'reshape_14/Reshape/shape/1', 'reshape_14/Reshape/shape/2', 'reshape_14/Reshape/shape/3', 'reshape_14/Reshape/shape', 'reshape_14/Reshape', 'dense_27/truncated_normal/shape', 'dense_27/truncated_normal/mean', 'dense_27/truncated_normal/stddev', 'dense_27/truncated_normal/TruncatedNormal', 'dense_27/truncated_normal/mul', 'dense_27/truncated_normal', 'dense_27/kernel', 'dense_27/kernel/Assign', 'dense_27/kernel/read', 'dense_27/Shape', 'dense_27/unstack', 'dense_27/Shape_1', 'dense_27/unstack_1', 'dense_27/Reshape/shape', 'dense_27/Reshape', 'dense_27/transpose/perm', 'dense_27/transpose', 'dense_27/Reshape_1/shape', 'dense_27/Reshape_1', 'dense_27/MatMul', 'dense_27/Reshape_2/shape/1', 'dense_27/Reshape_2/shape/2', 'dense_27/Reshape_2/shape/3', 'dense_27/Reshape_2/shape', 'dense_27/Reshape_2', 'leaky_re_lu_47/LeakyRelu', 'dense_28/truncated_normal/shape', 'dense_28/truncated_normal/mean', 'dense_28/truncated_normal/stddev', 'dense_28/truncated_normal/TruncatedNormal', 'dense_28/truncated_normal/mul', 'dense_28/truncated_normal', 'dense_28/kernel', 'dense_28/kernel/Assign', 'dense_28/kernel/read', 'dense_28/Shape', 'dense_28/unstack', 'dense_28/Shape_1', 'dense_28/unstack_1', 'dense_28/Reshape/shape', 'dense_28/Reshape', 'dense_28/transpose/perm', 'dense_28/transpose', 'dense_28/Reshape_1/shape', 'dense_28/Reshape_1', 'dense_28/MatMul', 'dense_28/Reshape_2/shape/1', 'dense_28/Reshape_2/shape/2', 'dense_28/Reshape_2/shape/3', 'dense_28/Reshape_2/shape', 'dense_28/Reshape_2', 'dense_28/Sigmoid', 'multiply_14/mul', 'add_14/add', 'conv2d_34/random_uniform/shape', 'conv2d_34/random_uniform/min', 'conv2d_34/random_uniform/max', 'conv2d_34/random_uniform/RandomUniform', 'conv2d_34/random_uniform/sub', 'conv2d_34/random_uniform/mul', 'conv2d_34/random_uniform', 'conv2d_34/kernel', 'conv2d_34/kernel/Assign', 'conv2d_34/kernel/read', 'conv2d_34/weight_regularizer/Square', 'conv2d_34/weight_regularizer/Const', 'conv2d_34/weight_regularizer/Sum', 'conv2d_34/weight_regularizer/mul/x', 'conv2d_34/weight_regularizer/mul', 'conv2d_34/weight_regularizer/add/x', 'conv2d_34/weight_regularizer/add', 'conv2d_34/convolution', 'batch_normalization_34/Const', 'batch_normalization_34/gamma', 'batch_normalization_34/gamma/Assign', 'batch_normalization_34/gamma/read', 'batch_normalization_34/Const_1', 'batch_normalization_34/beta', 'batch_normalization_34/beta/Assign', 'batch_normalization_34/beta/read', 'batch_normalization_34/Const_2', 'batch_normalization_34/moving_mean', 'batch_normalization_34/moving_mean/Assign', 'batch_normalization_34/moving_mean/read', 'batch_normalization_34/Const_3', 'batch_normalization_34/moving_variance', 'batch_normalization_34/moving_variance/Assign', 'batch_normalization_34/moving_variance/read', 'batch_normalization_34/Const_4', 'batch_normalization_34/Const_5', 'batch_normalization_34/FusedBatchNormV3', 'batch_normalization_34/Shape', 'batch_normalization_34/strided_slice/stack', 'batch_normalization_34/strided_slice/stack_1', 'batch_normalization_34/strided_slice/stack_2', 'batch_normalization_34/strided_slice', 'batch_normalization_34/Shape_1', 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'strided_slice_36/stack', 'strided_slice_36/stack_1', 'strided_slice_36/stack_2', 'strided_slice_36', 'strided_slice_37/stack', 'strided_slice_37/stack_1', 'strided_slice_37/stack_2', 'strided_slice_37', 'boolean_mask_8/Shape', 'boolean_mask_8/strided_slice/stack', 'boolean_mask_8/strided_slice/stack_1', 'boolean_mask_8/strided_slice/stack_2', 'boolean_mask_8/strided_slice', 'boolean_mask_8/Prod/reduction_indices', 'boolean_mask_8/Prod', 'boolean_mask_8/Shape_1', 'boolean_mask_8/strided_slice_1/stack', 'boolean_mask_8/strided_slice_1/stack_1', 'boolean_mask_8/strided_slice_1/stack_2', 'boolean_mask_8/strided_slice_1', 'boolean_mask_8/Shape_2', 'boolean_mask_8/strided_slice_2/stack', 'boolean_mask_8/strided_slice_2/stack_1', 'boolean_mask_8/strided_slice_2/stack_2', 'boolean_mask_8/strided_slice_2', 'boolean_mask_8/concat/values_1', 'boolean_mask_8/concat/axis', 'boolean_mask_8/concat', 'boolean_mask_8/Reshape', 'boolean_mask_8/Reshape_1/shape', 'boolean_mask_8/Reshape_1', 'boolean_mask_8/Where', 'boolean_mask_8/Squeeze', 'boolean_mask_8/GatherV2/axis', 'boolean_mask_8/GatherV2', 'non_max_suppression_2/iou_threshold', 'non_max_suppression_2/score_threshold', 'non_max_suppression_2/NonMaxSuppressionV3', 'embedding_lookup_6/axis', 'embedding_lookup_6', 'embedding_lookup_6/Identity', 'embedding_lookup_7/axis', 'embedding_lookup_7', 'embedding_lookup_7/Identity', 'embedding_lookup_8/axis', 'embedding_lookup_8', 'embedding_lookup_8/Identity', 'ones_like_2/Shape', 'ones_like_2/Const', 'ones_like_2', 'mul_10/y', 'mul_10', 'strided_slice_38/stack', 'strided_slice_38/stack_1', 'strided_slice_38/stack_2', 'strided_slice_38', 'boolean_mask_9/Shape', 'boolean_mask_9/strided_slice/stack', 'boolean_mask_9/strided_slice/stack_1', 'boolean_mask_9/strided_slice/stack_2', 'boolean_mask_9/strided_slice', 'boolean_mask_9/Prod/reduction_indices', 'boolean_mask_9/Prod', 'boolean_mask_9/Shape_1', 'boolean_mask_9/strided_slice_1/stack', 'boolean_mask_9/strided_slice_1/stack_1', 'boolean_mask_9/strided_slice_1/stack_2', 'boolean_mask_9/strided_slice_1', 'boolean_mask_9/Shape_2', 'boolean_mask_9/strided_slice_2/stack', 'boolean_mask_9/strided_slice_2/stack_1', 'boolean_mask_9/strided_slice_2/stack_2', 'boolean_mask_9/strided_slice_2', 'boolean_mask_9/concat/values_1', 'boolean_mask_9/concat/axis', 'boolean_mask_9/concat', 'boolean_mask_9/Reshape', 'boolean_mask_9/Reshape_1/shape', 'boolean_mask_9/Reshape_1', 'boolean_mask_9/Where', 'boolean_mask_9/Squeeze', 'boolean_mask_9/GatherV2/axis', 'boolean_mask_9/GatherV2', 'strided_slice_39/stack', 'strided_slice_39/stack_1', 'strided_slice_39/stack_2', 'strided_slice_39', 'boolean_mask_10/Shape', 'boolean_mask_10/strided_slice/stack', 'boolean_mask_10/strided_slice/stack_1', 'boolean_mask_10/strided_slice/stack_2', 'boolean_mask_10/strided_slice', 'boolean_mask_10/Prod/reduction_indices', 'boolean_mask_10/Prod', 'boolean_mask_10/Shape_1', 'boolean_mask_10/strided_slice_1/stack', 'boolean_mask_10/strided_slice_1/stack_1', 'boolean_mask_10/strided_slice_1/stack_2', 'boolean_mask_10/strided_slice_1', 'boolean_mask_10/Shape_2', 'boolean_mask_10/strided_slice_2/stack', 'boolean_mask_10/strided_slice_2/stack_1', 'boolean_mask_10/strided_slice_2/stack_2', 'boolean_mask_10/strided_slice_2', 'boolean_mask_10/concat/values_1', 'boolean_mask_10/concat/axis', 'boolean_mask_10/concat', 'boolean_mask_10/Reshape', 'boolean_mask_10/Reshape_1/shape', 'boolean_mask_10/Reshape_1', 'boolean_mask_10/Where', 'boolean_mask_10/Squeeze', 'boolean_mask_10/GatherV2/axis', 'boolean_mask_10/GatherV2', 'strided_slice_40/stack', 'strided_slice_40/stack_1', 'strided_slice_40/stack_2', 'strided_slice_40', 'strided_slice_41/stack', 'strided_slice_41/stack_1', 'strided_slice_41/stack_2', 'strided_slice_41', 'boolean_mask_11/Shape', 'boolean_mask_11/strided_slice/stack', 'boolean_mask_11/strided_slice/stack_1', 'boolean_mask_11/strided_slice/stack_2', 'boolean_mask_11/strided_slice', 'boolean_mask_11/Prod/reduction_indices', 'boolean_mask_11/Prod', 'boolean_mask_11/Shape_1', 'boolean_mask_11/strided_slice_1/stack', 'boolean_mask_11/strided_slice_1/stack_1', 'boolean_mask_11/strided_slice_1/stack_2', 'boolean_mask_11/strided_slice_1', 'boolean_mask_11/Shape_2', 'boolean_mask_11/strided_slice_2/stack', 'boolean_mask_11/strided_slice_2/stack_1', 'boolean_mask_11/strided_slice_2/stack_2', 'boolean_mask_11/strided_slice_2', 'boolean_mask_11/concat/values_1', 'boolean_mask_11/concat/axis', 'boolean_mask_11/concat', 'boolean_mask_11/Reshape', 'boolean_mask_11/Reshape_1/shape', 'boolean_mask_11/Reshape_1', 'boolean_mask_11/Where', 'boolean_mask_11/Squeeze', 'boolean_mask_11/GatherV2/axis', 'boolean_mask_11/GatherV2', 'non_max_suppression_3/iou_threshold', 'non_max_suppression_3/score_threshold', 'non_max_suppression_3/NonMaxSuppressionV3', 'embedding_lookup_9/axis', 'embedding_lookup_9', 'embedding_lookup_9/Identity', 'embedding_lookup_10/axis', 'embedding_lookup_10', 'embedding_lookup_10/Identity', 'embedding_lookup_11/axis', 'embedding_lookup_11', 'embedding_lookup_11/Identity', 'ones_like_3/Shape', 'ones_like_3/Const', 'ones_like_3', 'mul_11/y', 'mul_11', 'strided_slice_42/stack', 'strided_slice_42/stack_1', 'strided_slice_42/stack_2', 'strided_slice_42', 'boolean_mask_12/Shape', 'boolean_mask_12/strided_slice/stack', 'boolean_mask_12/strided_slice/stack_1', 'boolean_mask_12/strided_slice/stack_2', 'boolean_mask_12/strided_slice', 'boolean_mask_12/Prod/reduction_indices', 'boolean_mask_12/Prod', 'boolean_mask_12/Shape_1', 'boolean_mask_12/strided_slice_1/stack', 'boolean_mask_12/strided_slice_1/stack_1', 'boolean_mask_12/strided_slice_1/stack_2', 'boolean_mask_12/strided_slice_1', 'boolean_mask_12/Shape_2', 'boolean_mask_12/strided_slice_2/stack', 'boolean_mask_12/strided_slice_2/stack_1', 'boolean_mask_12/strided_slice_2/stack_2', 'boolean_mask_12/strided_slice_2', 'boolean_mask_12/concat/values_1', 'boolean_mask_12/concat/axis', 'boolean_mask_12/concat', 'boolean_mask_12/Reshape', 'boolean_mask_12/Reshape_1/shape', 'boolean_mask_12/Reshape_1', 'boolean_mask_12/Where', 'boolean_mask_12/Squeeze', 'boolean_mask_12/GatherV2/axis', 'boolean_mask_12/GatherV2', 'strided_slice_43/stack', 'strided_slice_43/stack_1', 'strided_slice_43/stack_2', 'strided_slice_43', 'boolean_mask_13/Shape', 'boolean_mask_13/strided_slice/stack', 'boolean_mask_13/strided_slice/stack_1', 'boolean_mask_13/strided_slice/stack_2', 'boolean_mask_13/strided_slice', 'boolean_mask_13/Prod/reduction_indices', 'boolean_mask_13/Prod', 'boolean_mask_13/Shape_1', 'boolean_mask_13/strided_slice_1/stack', 'boolean_mask_13/strided_slice_1/stack_1', 'boolean_mask_13/strided_slice_1/stack_2', 'boolean_mask_13/strided_slice_1', 'boolean_mask_13/Shape_2', 'boolean_mask_13/strided_slice_2/stack', 'boolean_mask_13/strided_slice_2/stack_1', 'boolean_mask_13/strided_slice_2/stack_2', 'boolean_mask_13/strided_slice_2', 'boolean_mask_13/concat/values_1', 'boolean_mask_13/concat/axis', 'boolean_mask_13/concat', 'boolean_mask_13/Reshape', 'boolean_mask_13/Reshape_1/shape', 'boolean_mask_13/Reshape_1', 'boolean_mask_13/Where', 'boolean_mask_13/Squeeze', 'boolean_mask_13/GatherV2/axis', 'boolean_mask_13/GatherV2', 'strided_slice_44/stack', 'strided_slice_44/stack_1', 'strided_slice_44/stack_2', 'strided_slice_44', 'strided_slice_45/stack', 'strided_slice_45/stack_1', 'strided_slice_45/stack_2', 'strided_slice_45', 'boolean_mask_14/Shape', 'boolean_mask_14/strided_slice/stack', 'boolean_mask_14/strided_slice/stack_1', 'boolean_mask_14/strided_slice/stack_2', 'boolean_mask_14/strided_slice', 'boolean_mask_14/Prod/reduction_indices', 'boolean_mask_14/Prod', 'boolean_mask_14/Shape_1', 'boolean_mask_14/strided_slice_1/stack', 'boolean_mask_14/strided_slice_1/stack_1', 'boolean_mask_14/strided_slice_1/stack_2', 'boolean_mask_14/strided_slice_1', 'boolean_mask_14/Shape_2', 'boolean_mask_14/strided_slice_2/stack', 'boolean_mask_14/strided_slice_2/stack_1', 'boolean_mask_14/strided_slice_2/stack_2', 'boolean_mask_14/strided_slice_2', 'boolean_mask_14/concat/values_1', 'boolean_mask_14/concat/axis', 'boolean_mask_14/concat', 'boolean_mask_14/Reshape', 'boolean_mask_14/Reshape_1/shape', 'boolean_mask_14/Reshape_1', 'boolean_mask_14/Where', 'boolean_mask_14/Squeeze', 'boolean_mask_14/GatherV2/axis', 'boolean_mask_14/GatherV2', 'non_max_suppression_4/iou_threshold', 'non_max_suppression_4/score_threshold', 'non_max_suppression_4/NonMaxSuppressionV3', 'embedding_lookup_12/axis', 'embedding_lookup_12', 'embedding_lookup_12/Identity', 'embedding_lookup_13/axis', 'embedding_lookup_13', 'embedding_lookup_13/Identity', 'embedding_lookup_14/axis', 'embedding_lookup_14', 'embedding_lookup_14/Identity', 'ones_like_4/Shape', 'ones_like_4/Const', 'ones_like_4', 'mul_12/y', 'mul_12', 'strided_slice_46/stack', 'strided_slice_46/stack_1', 'strided_slice_46/stack_2', 'strided_slice_46', 'boolean_mask_15/Shape', 'boolean_mask_15/strided_slice/stack', 'boolean_mask_15/strided_slice/stack_1', 'boolean_mask_15/strided_slice/stack_2', 'boolean_mask_15/strided_slice', 'boolean_mask_15/Prod/reduction_indices', 'boolean_mask_15/Prod', 'boolean_mask_15/Shape_1', 'boolean_mask_15/strided_slice_1/stack', 'boolean_mask_15/strided_slice_1/stack_1', 'boolean_mask_15/strided_slice_1/stack_2', 'boolean_mask_15/strided_slice_1', 'boolean_mask_15/Shape_2', 'boolean_mask_15/strided_slice_2/stack', 'boolean_mask_15/strided_slice_2/stack_1', 'boolean_mask_15/strided_slice_2/stack_2', 'boolean_mask_15/strided_slice_2', 'boolean_mask_15/concat/values_1', 'boolean_mask_15/concat/axis', 'boolean_mask_15/concat', 'boolean_mask_15/Reshape', 'boolean_mask_15/Reshape_1/shape', 'boolean_mask_15/Reshape_1', 'boolean_mask_15/Where', 'boolean_mask_15/Squeeze', 'boolean_mask_15/GatherV2/axis', 'boolean_mask_15/GatherV2', 'strided_slice_47/stack', 'strided_slice_47/stack_1', 'strided_slice_47/stack_2', 'strided_slice_47', 'boolean_mask_16/Shape', 'boolean_mask_16/strided_slice/stack', 'boolean_mask_16/strided_slice/stack_1', 'boolean_mask_16/strided_slice/stack_2', 'boolean_mask_16/strided_slice', 'boolean_mask_16/Prod/reduction_indices', 'boolean_mask_16/Prod', 'boolean_mask_16/Shape_1', 'boolean_mask_16/strided_slice_1/stack', 'boolean_mask_16/strided_slice_1/stack_1', 'boolean_mask_16/strided_slice_1/stack_2', 'boolean_mask_16/strided_slice_1', 'boolean_mask_16/Shape_2', 'boolean_mask_16/strided_slice_2/stack', 'boolean_mask_16/strided_slice_2/stack_1', 'boolean_mask_16/strided_slice_2/stack_2', 'boolean_mask_16/strided_slice_2', 'boolean_mask_16/concat/values_1', 'boolean_mask_16/concat/axis', 'boolean_mask_16/concat', 'boolean_mask_16/Reshape', 'boolean_mask_16/Reshape_1/shape', 'boolean_mask_16/Reshape_1', 'boolean_mask_16/Where', 'boolean_mask_16/Squeeze', 'boolean_mask_16/GatherV2/axis', 'boolean_mask_16/GatherV2', 'strided_slice_48/stack', 'strided_slice_48/stack_1', 'strided_slice_48/stack_2', 'strided_slice_48', 'strided_slice_49/stack', 'strided_slice_49/stack_1', 'strided_slice_49/stack_2', 'strided_slice_49', 'boolean_mask_17/Shape', 'boolean_mask_17/strided_slice/stack', 'boolean_mask_17/strided_slice/stack_1', 'boolean_mask_17/strided_slice/stack_2', 'boolean_mask_17/strided_slice', 'boolean_mask_17/Prod/reduction_indices', 'boolean_mask_17/Prod', 'boolean_mask_17/Shape_1', 'boolean_mask_17/strided_slice_1/stack', 'boolean_mask_17/strided_slice_1/stack_1', 'boolean_mask_17/strided_slice_1/stack_2', 'boolean_mask_17/strided_slice_1', 'boolean_mask_17/Shape_2', 'boolean_mask_17/strided_slice_2/stack', 'boolean_mask_17/strided_slice_2/stack_1', 'boolean_mask_17/strided_slice_2/stack_2', 'boolean_mask_17/strided_slice_2', 'boolean_mask_17/concat/values_1', 'boolean_mask_17/concat/axis', 'boolean_mask_17/concat', 'boolean_mask_17/Reshape', 'boolean_mask_17/Reshape_1/shape', 'boolean_mask_17/Reshape_1', 'boolean_mask_17/Where', 'boolean_mask_17/Squeeze', 'boolean_mask_17/GatherV2/axis', 'boolean_mask_17/GatherV2', 'non_max_suppression_5/iou_threshold', 'non_max_suppression_5/score_threshold', 'non_max_suppression_5/NonMaxSuppressionV3', 'embedding_lookup_15/axis', 'embedding_lookup_15', 'embedding_lookup_15/Identity', 'embedding_lookup_16/axis', 'embedding_lookup_16', 'embedding_lookup_16/Identity', 'embedding_lookup_17/axis', 'embedding_lookup_17', 'embedding_lookup_17/Identity', 'ones_like_5/Shape', 'ones_like_5/Const', 'ones_like_5', 'mul_13/y', 'mul_13', 'strided_slice_50/stack', 'strided_slice_50/stack_1', 'strided_slice_50/stack_2', 'strided_slice_50', 'boolean_mask_18/Shape', 'boolean_mask_18/strided_slice/stack', 'boolean_mask_18/strided_slice/stack_1', 'boolean_mask_18/strided_slice/stack_2', 'boolean_mask_18/strided_slice', 'boolean_mask_18/Prod/reduction_indices', 'boolean_mask_18/Prod', 'boolean_mask_18/Shape_1', 'boolean_mask_18/strided_slice_1/stack', 'boolean_mask_18/strided_slice_1/stack_1', 'boolean_mask_18/strided_slice_1/stack_2', 'boolean_mask_18/strided_slice_1', 'boolean_mask_18/Shape_2', 'boolean_mask_18/strided_slice_2/stack', 'boolean_mask_18/strided_slice_2/stack_1', 'boolean_mask_18/strided_slice_2/stack_2', 'boolean_mask_18/strided_slice_2', 'boolean_mask_18/concat/values_1', 'boolean_mask_18/concat/axis', 'boolean_mask_18/concat', 'boolean_mask_18/Reshape', 'boolean_mask_18/Reshape_1/shape', 'boolean_mask_18/Reshape_1', 'boolean_mask_18/Where', 'boolean_mask_18/Squeeze', 'boolean_mask_18/GatherV2/axis', 'boolean_mask_18/GatherV2', 'strided_slice_51/stack', 'strided_slice_51/stack_1', 'strided_slice_51/stack_2', 'strided_slice_51', 'boolean_mask_19/Shape', 'boolean_mask_19/strided_slice/stack', 'boolean_mask_19/strided_slice/stack_1', 'boolean_mask_19/strided_slice/stack_2', 'boolean_mask_19/strided_slice', 'boolean_mask_19/Prod/reduction_indices', 'boolean_mask_19/Prod', 'boolean_mask_19/Shape_1', 'boolean_mask_19/strided_slice_1/stack', 'boolean_mask_19/strided_slice_1/stack_1', 'boolean_mask_19/strided_slice_1/stack_2', 'boolean_mask_19/strided_slice_1', 'boolean_mask_19/Shape_2', 'boolean_mask_19/strided_slice_2/stack', 'boolean_mask_19/strided_slice_2/stack_1', 'boolean_mask_19/strided_slice_2/stack_2', 'boolean_mask_19/strided_slice_2', 'boolean_mask_19/concat/values_1', 'boolean_mask_19/concat/axis', 'boolean_mask_19/concat', 'boolean_mask_19/Reshape', 'boolean_mask_19/Reshape_1/shape', 'boolean_mask_19/Reshape_1', 'boolean_mask_19/Where', 'boolean_mask_19/Squeeze', 'boolean_mask_19/GatherV2/axis', 'boolean_mask_19/GatherV2', 'strided_slice_52/stack', 'strided_slice_52/stack_1', 'strided_slice_52/stack_2', 'strided_slice_52', 'strided_slice_53/stack', 'strided_slice_53/stack_1', 'strided_slice_53/stack_2', 'strided_slice_53', 'boolean_mask_20/Shape', 'boolean_mask_20/strided_slice/stack', 'boolean_mask_20/strided_slice/stack_1', 'boolean_mask_20/strided_slice/stack_2', 'boolean_mask_20/strided_slice', 'boolean_mask_20/Prod/reduction_indices', 'boolean_mask_20/Prod', 'boolean_mask_20/Shape_1', 'boolean_mask_20/strided_slice_1/stack', 'boolean_mask_20/strided_slice_1/stack_1', 'boolean_mask_20/strided_slice_1/stack_2', 'boolean_mask_20/strided_slice_1', 'boolean_mask_20/Shape_2', 'boolean_mask_20/strided_slice_2/stack', 'boolean_mask_20/strided_slice_2/stack_1', 'boolean_mask_20/strided_slice_2/stack_2', 'boolean_mask_20/strided_slice_2', 'boolean_mask_20/concat/values_1', 'boolean_mask_20/concat/axis', 'boolean_mask_20/concat', 'boolean_mask_20/Reshape', 'boolean_mask_20/Reshape_1/shape', 'boolean_mask_20/Reshape_1', 'boolean_mask_20/Where', 'boolean_mask_20/Squeeze', 'boolean_mask_20/GatherV2/axis', 'boolean_mask_20/GatherV2', 'non_max_suppression_6/iou_threshold', 'non_max_suppression_6/score_threshold', 'non_max_suppression_6/NonMaxSuppressionV3', 'embedding_lookup_18/axis', 'embedding_lookup_18', 'embedding_lookup_18/Identity', 'embedding_lookup_19/axis', 'embedding_lookup_19', 'embedding_lookup_19/Identity', 'embedding_lookup_20/axis', 'embedding_lookup_20', 'embedding_lookup_20/Identity', 'ones_like_6/Shape', 'ones_like_6/Const', 'ones_like_6', 'mul_14/y', 'mul_14', 'strided_slice_54/stack', 'strided_slice_54/stack_1', 'strided_slice_54/stack_2', 'strided_slice_54', 'boolean_mask_21/Shape', 'boolean_mask_21/strided_slice/stack', 'boolean_mask_21/strided_slice/stack_1', 'boolean_mask_21/strided_slice/stack_2', 'boolean_mask_21/strided_slice', 'boolean_mask_21/Prod/reduction_indices', 'boolean_mask_21/Prod', 'boolean_mask_21/Shape_1', 'boolean_mask_21/strided_slice_1/stack', 'boolean_mask_21/strided_slice_1/stack_1', 'boolean_mask_21/strided_slice_1/stack_2', 'boolean_mask_21/strided_slice_1', 'boolean_mask_21/Shape_2', 'boolean_mask_21/strided_slice_2/stack', 'boolean_mask_21/strided_slice_2/stack_1', 'boolean_mask_21/strided_slice_2/stack_2', 'boolean_mask_21/strided_slice_2', 'boolean_mask_21/concat/values_1', 'boolean_mask_21/concat/axis', 'boolean_mask_21/concat', 'boolean_mask_21/Reshape', 'boolean_mask_21/Reshape_1/shape', 'boolean_mask_21/Reshape_1', 'boolean_mask_21/Where', 'boolean_mask_21/Squeeze', 'boolean_mask_21/GatherV2/axis', 'boolean_mask_21/GatherV2', 'strided_slice_55/stack', 'strided_slice_55/stack_1', 'strided_slice_55/stack_2', 'strided_slice_55', 'boolean_mask_22/Shape', 'boolean_mask_22/strided_slice/stack', 'boolean_mask_22/strided_slice/stack_1', 'boolean_mask_22/strided_slice/stack_2', 'boolean_mask_22/strided_slice', 'boolean_mask_22/Prod/reduction_indices', 'boolean_mask_22/Prod', 'boolean_mask_22/Shape_1', 'boolean_mask_22/strided_slice_1/stack', 'boolean_mask_22/strided_slice_1/stack_1', 'boolean_mask_22/strided_slice_1/stack_2', 'boolean_mask_22/strided_slice_1', 'boolean_mask_22/Shape_2', 'boolean_mask_22/strided_slice_2/stack', 'boolean_mask_22/strided_slice_2/stack_1', 'boolean_mask_22/strided_slice_2/stack_2', 'boolean_mask_22/strided_slice_2', 'boolean_mask_22/concat/values_1', 'boolean_mask_22/concat/axis', 'boolean_mask_22/concat', 'boolean_mask_22/Reshape', 'boolean_mask_22/Reshape_1/shape', 'boolean_mask_22/Reshape_1', 'boolean_mask_22/Where', 'boolean_mask_22/Squeeze', 'boolean_mask_22/GatherV2/axis', 'boolean_mask_22/GatherV2', 'strided_slice_56/stack', 'strided_slice_56/stack_1', 'strided_slice_56/stack_2', 'strided_slice_56', 'strided_slice_57/stack', 'strided_slice_57/stack_1', 'strided_slice_57/stack_2', 'strided_slice_57', 'boolean_mask_23/Shape', 'boolean_mask_23/strided_slice/stack', 'boolean_mask_23/strided_slice/stack_1', 'boolean_mask_23/strided_slice/stack_2', 'boolean_mask_23/strided_slice', 'boolean_mask_23/Prod/reduction_indices', 'boolean_mask_23/Prod', 'boolean_mask_23/Shape_1', 'boolean_mask_23/strided_slice_1/stack', 'boolean_mask_23/strided_slice_1/stack_1', 'boolean_mask_23/strided_slice_1/stack_2', 'boolean_mask_23/strided_slice_1', 'boolean_mask_23/Shape_2', 'boolean_mask_23/strided_slice_2/stack', 'boolean_mask_23/strided_slice_2/stack_1', 'boolean_mask_23/strided_slice_2/stack_2', 'boolean_mask_23/strided_slice_2', 'boolean_mask_23/concat/values_1', 'boolean_mask_23/concat/axis', 'boolean_mask_23/concat', 'boolean_mask_23/Reshape', 'boolean_mask_23/Reshape_1/shape', 'boolean_mask_23/Reshape_1', 'boolean_mask_23/Where', 'boolean_mask_23/Squeeze', 'boolean_mask_23/GatherV2/axis', 'boolean_mask_23/GatherV2', 'non_max_suppression_7/iou_threshold', 'non_max_suppression_7/score_threshold', 'non_max_suppression_7/NonMaxSuppressionV3', 'embedding_lookup_21/axis', 'embedding_lookup_21', 'embedding_lookup_21/Identity', 'embedding_lookup_22/axis', 'embedding_lookup_22', 'embedding_lookup_22/Identity', 'embedding_lookup_23/axis', 'embedding_lookup_23', 'embedding_lookup_23/Identity', 'ones_like_7/Shape', 'ones_like_7/Const', 'ones_like_7', 'mul_15/y', 'mul_15', 'strided_slice_58/stack', 'strided_slice_58/stack_1', 'strided_slice_58/stack_2', 'strided_slice_58', 'boolean_mask_24/Shape', 'boolean_mask_24/strided_slice/stack', 'boolean_mask_24/strided_slice/stack_1', 'boolean_mask_24/strided_slice/stack_2', 'boolean_mask_24/strided_slice', 'boolean_mask_24/Prod/reduction_indices', 'boolean_mask_24/Prod', 'boolean_mask_24/Shape_1', 'boolean_mask_24/strided_slice_1/stack', 'boolean_mask_24/strided_slice_1/stack_1', 'boolean_mask_24/strided_slice_1/stack_2', 'boolean_mask_24/strided_slice_1', 'boolean_mask_24/Shape_2', 'boolean_mask_24/strided_slice_2/stack', 'boolean_mask_24/strided_slice_2/stack_1', 'boolean_mask_24/strided_slice_2/stack_2', 'boolean_mask_24/strided_slice_2', 'boolean_mask_24/concat/values_1', 'boolean_mask_24/concat/axis', 'boolean_mask_24/concat', 'boolean_mask_24/Reshape', 'boolean_mask_24/Reshape_1/shape', 'boolean_mask_24/Reshape_1', 'boolean_mask_24/Where', 'boolean_mask_24/Squeeze', 'boolean_mask_24/GatherV2/axis', 'boolean_mask_24/GatherV2', 'strided_slice_59/stack', 'strided_slice_59/stack_1', 'strided_slice_59/stack_2', 'strided_slice_59', 'boolean_mask_25/Shape', 'boolean_mask_25/strided_slice/stack', 'boolean_mask_25/strided_slice/stack_1', 'boolean_mask_25/strided_slice/stack_2', 'boolean_mask_25/strided_slice', 'boolean_mask_25/Prod/reduction_indices', 'boolean_mask_25/Prod', 'boolean_mask_25/Shape_1', 'boolean_mask_25/strided_slice_1/stack', 'boolean_mask_25/strided_slice_1/stack_1', 'boolean_mask_25/strided_slice_1/stack_2', 'boolean_mask_25/strided_slice_1', 'boolean_mask_25/Shape_2', 'boolean_mask_25/strided_slice_2/stack', 'boolean_mask_25/strided_slice_2/stack_1', 'boolean_mask_25/strided_slice_2/stack_2', 'boolean_mask_25/strided_slice_2', 'boolean_mask_25/concat/values_1', 'boolean_mask_25/concat/axis', 'boolean_mask_25/concat', 'boolean_mask_25/Reshape', 'boolean_mask_25/Reshape_1/shape', 'boolean_mask_25/Reshape_1', 'boolean_mask_25/Where', 'boolean_mask_25/Squeeze', 'boolean_mask_25/GatherV2/axis', 'boolean_mask_25/GatherV2', 'strided_slice_60/stack', 'strided_slice_60/stack_1', 'strided_slice_60/stack_2', 'strided_slice_60', 'strided_slice_61/stack', 'strided_slice_61/stack_1', 'strided_slice_61/stack_2', 'strided_slice_61', 'boolean_mask_26/Shape', 'boolean_mask_26/strided_slice/stack', 'boolean_mask_26/strided_slice/stack_1', 'boolean_mask_26/strided_slice/stack_2', 'boolean_mask_26/strided_slice', 'boolean_mask_26/Prod/reduction_indices', 'boolean_mask_26/Prod', 'boolean_mask_26/Shape_1', 'boolean_mask_26/strided_slice_1/stack', 'boolean_mask_26/strided_slice_1/stack_1', 'boolean_mask_26/strided_slice_1/stack_2', 'boolean_mask_26/strided_slice_1', 'boolean_mask_26/Shape_2', 'boolean_mask_26/strided_slice_2/stack', 'boolean_mask_26/strided_slice_2/stack_1', 'boolean_mask_26/strided_slice_2/stack_2', 'boolean_mask_26/strided_slice_2', 'boolean_mask_26/concat/values_1', 'boolean_mask_26/concat/axis', 'boolean_mask_26/concat', 'boolean_mask_26/Reshape', 'boolean_mask_26/Reshape_1/shape', 'boolean_mask_26/Reshape_1', 'boolean_mask_26/Where', 'boolean_mask_26/Squeeze', 'boolean_mask_26/GatherV2/axis', 'boolean_mask_26/GatherV2', 'non_max_suppression_8/iou_threshold', 'non_max_suppression_8/score_threshold', 'non_max_suppression_8/NonMaxSuppressionV3', 'embedding_lookup_24/axis', 'embedding_lookup_24', 'embedding_lookup_24/Identity', 'embedding_lookup_25/axis', 'embedding_lookup_25', 'embedding_lookup_25/Identity', 'embedding_lookup_26/axis', 'embedding_lookup_26', 'embedding_lookup_26/Identity', 'ones_like_8/Shape', 'ones_like_8/Const', 'ones_like_8', 'mul_16/y', 'mul_16', 'strided_slice_62/stack', 'strided_slice_62/stack_1', 'strided_slice_62/stack_2', 'strided_slice_62', 'boolean_mask_27/Shape', 'boolean_mask_27/strided_slice/stack', 'boolean_mask_27/strided_slice/stack_1', 'boolean_mask_27/strided_slice/stack_2', 'boolean_mask_27/strided_slice', 'boolean_mask_27/Prod/reduction_indices', 'boolean_mask_27/Prod', 'boolean_mask_27/Shape_1', 'boolean_mask_27/strided_slice_1/stack', 'boolean_mask_27/strided_slice_1/stack_1', 'boolean_mask_27/strided_slice_1/stack_2', 'boolean_mask_27/strided_slice_1', 'boolean_mask_27/Shape_2', 'boolean_mask_27/strided_slice_2/stack', 'boolean_mask_27/strided_slice_2/stack_1', 'boolean_mask_27/strided_slice_2/stack_2', 'boolean_mask_27/strided_slice_2', 'boolean_mask_27/concat/values_1', 'boolean_mask_27/concat/axis', 'boolean_mask_27/concat', 'boolean_mask_27/Reshape', 'boolean_mask_27/Reshape_1/shape', 'boolean_mask_27/Reshape_1', 'boolean_mask_27/Where', 'boolean_mask_27/Squeeze', 'boolean_mask_27/GatherV2/axis', 'boolean_mask_27/GatherV2', 'strided_slice_63/stack', 'strided_slice_63/stack_1', 'strided_slice_63/stack_2', 'strided_slice_63', 'boolean_mask_28/Shape', 'boolean_mask_28/strided_slice/stack', 'boolean_mask_28/strided_slice/stack_1', 'boolean_mask_28/strided_slice/stack_2', 'boolean_mask_28/strided_slice', 'boolean_mask_28/Prod/reduction_indices', 'boolean_mask_28/Prod', 'boolean_mask_28/Shape_1', 'boolean_mask_28/strided_slice_1/stack', 'boolean_mask_28/strided_slice_1/stack_1', 'boolean_mask_28/strided_slice_1/stack_2', 'boolean_mask_28/strided_slice_1', 'boolean_mask_28/Shape_2', 'boolean_mask_28/strided_slice_2/stack', 'boolean_mask_28/strided_slice_2/stack_1', 'boolean_mask_28/strided_slice_2/stack_2', 'boolean_mask_28/strided_slice_2', 'boolean_mask_28/concat/values_1', 'boolean_mask_28/concat/axis', 'boolean_mask_28/concat', 'boolean_mask_28/Reshape', 'boolean_mask_28/Reshape_1/shape', 'boolean_mask_28/Reshape_1', 'boolean_mask_28/Where', 'boolean_mask_28/Squeeze', 'boolean_mask_28/GatherV2/axis', 'boolean_mask_28/GatherV2', 'strided_slice_64/stack', 'strided_slice_64/stack_1', 'strided_slice_64/stack_2', 'strided_slice_64', 'strided_slice_65/stack', 'strided_slice_65/stack_1', 'strided_slice_65/stack_2', 'strided_slice_65', 'boolean_mask_29/Shape', 'boolean_mask_29/strided_slice/stack', 'boolean_mask_29/strided_slice/stack_1', 'boolean_mask_29/strided_slice/stack_2', 'boolean_mask_29/strided_slice', 'boolean_mask_29/Prod/reduction_indices', 'boolean_mask_29/Prod', 'boolean_mask_29/Shape_1', 'boolean_mask_29/strided_slice_1/stack', 'boolean_mask_29/strided_slice_1/stack_1', 'boolean_mask_29/strided_slice_1/stack_2', 'boolean_mask_29/strided_slice_1', 'boolean_mask_29/Shape_2', 'boolean_mask_29/strided_slice_2/stack', 'boolean_mask_29/strided_slice_2/stack_1', 'boolean_mask_29/strided_slice_2/stack_2', 'boolean_mask_29/strided_slice_2', 'boolean_mask_29/concat/values_1', 'boolean_mask_29/concat/axis', 'boolean_mask_29/concat', 'boolean_mask_29/Reshape', 'boolean_mask_29/Reshape_1/shape', 'boolean_mask_29/Reshape_1', 'boolean_mask_29/Where', 'boolean_mask_29/Squeeze', 'boolean_mask_29/GatherV2/axis', 'boolean_mask_29/GatherV2', 'non_max_suppression_9/iou_threshold', 'non_max_suppression_9/score_threshold', 'non_max_suppression_9/NonMaxSuppressionV3', 'embedding_lookup_27/axis', 'embedding_lookup_27', 'embedding_lookup_27/Identity', 'embedding_lookup_28/axis', 'embedding_lookup_28', 'embedding_lookup_28/Identity', 'embedding_lookup_29/axis', 'embedding_lookup_29', 'embedding_lookup_29/Identity', 'ones_like_9/Shape', 'ones_like_9/Const', 'ones_like_9', 'mul_17/y', 'mul_17', 'strided_slice_66/stack', 'strided_slice_66/stack_1', 'strided_slice_66/stack_2', 'strided_slice_66', 'boolean_mask_30/Shape', 'boolean_mask_30/strided_slice/stack', 'boolean_mask_30/strided_slice/stack_1', 'boolean_mask_30/strided_slice/stack_2', 'boolean_mask_30/strided_slice', 'boolean_mask_30/Prod/reduction_indices', 'boolean_mask_30/Prod', 'boolean_mask_30/Shape_1', 'boolean_mask_30/strided_slice_1/stack', 'boolean_mask_30/strided_slice_1/stack_1', 'boolean_mask_30/strided_slice_1/stack_2', 'boolean_mask_30/strided_slice_1', 'boolean_mask_30/Shape_2', 'boolean_mask_30/strided_slice_2/stack', 'boolean_mask_30/strided_slice_2/stack_1', 'boolean_mask_30/strided_slice_2/stack_2', 'boolean_mask_30/strided_slice_2', 'boolean_mask_30/concat/values_1', 'boolean_mask_30/concat/axis', 'boolean_mask_30/concat', 'boolean_mask_30/Reshape', 'boolean_mask_30/Reshape_1/shape', 'boolean_mask_30/Reshape_1', 'boolean_mask_30/Where', 'boolean_mask_30/Squeeze', 'boolean_mask_30/GatherV2/axis', 'boolean_mask_30/GatherV2', 'strided_slice_67/stack', 'strided_slice_67/stack_1', 'strided_slice_67/stack_2', 'strided_slice_67', 'boolean_mask_31/Shape', 'boolean_mask_31/strided_slice/stack', 'boolean_mask_31/strided_slice/stack_1', 'boolean_mask_31/strided_slice/stack_2', 'boolean_mask_31/strided_slice', 'boolean_mask_31/Prod/reduction_indices', 'boolean_mask_31/Prod', 'boolean_mask_31/Shape_1', 'boolean_mask_31/strided_slice_1/stack', 'boolean_mask_31/strided_slice_1/stack_1', 'boolean_mask_31/strided_slice_1/stack_2', 'boolean_mask_31/strided_slice_1', 'boolean_mask_31/Shape_2', 'boolean_mask_31/strided_slice_2/stack', 'boolean_mask_31/strided_slice_2/stack_1', 'boolean_mask_31/strided_slice_2/stack_2', 'boolean_mask_31/strided_slice_2', 'boolean_mask_31/concat/values_1', 'boolean_mask_31/concat/axis', 'boolean_mask_31/concat', 'boolean_mask_31/Reshape', 'boolean_mask_31/Reshape_1/shape', 'boolean_mask_31/Reshape_1', 'boolean_mask_31/Where', 'boolean_mask_31/Squeeze', 'boolean_mask_31/GatherV2/axis', 'boolean_mask_31/GatherV2', 'strided_slice_68/stack', 'strided_slice_68/stack_1', 'strided_slice_68/stack_2', 'strided_slice_68', 'strided_slice_69/stack', 'strided_slice_69/stack_1', 'strided_slice_69/stack_2', 'strided_slice_69', 'boolean_mask_32/Shape', 'boolean_mask_32/strided_slice/stack', 'boolean_mask_32/strided_slice/stack_1', 'boolean_mask_32/strided_slice/stack_2', 'boolean_mask_32/strided_slice', 'boolean_mask_32/Prod/reduction_indices', 'boolean_mask_32/Prod', 'boolean_mask_32/Shape_1', 'boolean_mask_32/strided_slice_1/stack', 'boolean_mask_32/strided_slice_1/stack_1', 'boolean_mask_32/strided_slice_1/stack_2', 'boolean_mask_32/strided_slice_1', 'boolean_mask_32/Shape_2', 'boolean_mask_32/strided_slice_2/stack', 'boolean_mask_32/strided_slice_2/stack_1', 'boolean_mask_32/strided_slice_2/stack_2', 'boolean_mask_32/strided_slice_2', 'boolean_mask_32/concat/values_1', 'boolean_mask_32/concat/axis', 'boolean_mask_32/concat', 'boolean_mask_32/Reshape', 'boolean_mask_32/Reshape_1/shape', 'boolean_mask_32/Reshape_1', 'boolean_mask_32/Where', 'boolean_mask_32/Squeeze', 'boolean_mask_32/GatherV2/axis', 'boolean_mask_32/GatherV2', 'non_max_suppression_10/iou_threshold', 'non_max_suppression_10/score_threshold', 'non_max_suppression_10/NonMaxSuppressionV3', 'embedding_lookup_30/axis', 'embedding_lookup_30', 'embedding_lookup_30/Identity', 'embedding_lookup_31/axis', 'embedding_lookup_31', 'embedding_lookup_31/Identity', 'embedding_lookup_32/axis', 'embedding_lookup_32', 'embedding_lookup_32/Identity', 'ones_like_10/Shape', 'ones_like_10/Const', 'ones_like_10', 'mul_18/y', 'mul_18', 'strided_slice_70/stack', 'strided_slice_70/stack_1', 'strided_slice_70/stack_2', 'strided_slice_70', 'boolean_mask_33/Shape', 'boolean_mask_33/strided_slice/stack', 'boolean_mask_33/strided_slice/stack_1', 'boolean_mask_33/strided_slice/stack_2', 'boolean_mask_33/strided_slice', 'boolean_mask_33/Prod/reduction_indices', 'boolean_mask_33/Prod', 'boolean_mask_33/Shape_1', 'boolean_mask_33/strided_slice_1/stack', 'boolean_mask_33/strided_slice_1/stack_1', 'boolean_mask_33/strided_slice_1/stack_2', 'boolean_mask_33/strided_slice_1', 'boolean_mask_33/Shape_2', 'boolean_mask_33/strided_slice_2/stack', 'boolean_mask_33/strided_slice_2/stack_1', 'boolean_mask_33/strided_slice_2/stack_2', 'boolean_mask_33/strided_slice_2', 'boolean_mask_33/concat/values_1', 'boolean_mask_33/concat/axis', 'boolean_mask_33/concat', 'boolean_mask_33/Reshape', 'boolean_mask_33/Reshape_1/shape', 'boolean_mask_33/Reshape_1', 'boolean_mask_33/Where', 'boolean_mask_33/Squeeze', 'boolean_mask_33/GatherV2/axis', 'boolean_mask_33/GatherV2', 'strided_slice_71/stack', 'strided_slice_71/stack_1', 'strided_slice_71/stack_2', 'strided_slice_71', 'boolean_mask_34/Shape', 'boolean_mask_34/strided_slice/stack', 'boolean_mask_34/strided_slice/stack_1', 'boolean_mask_34/strided_slice/stack_2', 'boolean_mask_34/strided_slice', 'boolean_mask_34/Prod/reduction_indices', 'boolean_mask_34/Prod', 'boolean_mask_34/Shape_1', 'boolean_mask_34/strided_slice_1/stack', 'boolean_mask_34/strided_slice_1/stack_1', 'boolean_mask_34/strided_slice_1/stack_2', 'boolean_mask_34/strided_slice_1', 'boolean_mask_34/Shape_2', 'boolean_mask_34/strided_slice_2/stack', 'boolean_mask_34/strided_slice_2/stack_1', 'boolean_mask_34/strided_slice_2/stack_2', 'boolean_mask_34/strided_slice_2', 'boolean_mask_34/concat/values_1', 'boolean_mask_34/concat/axis', 'boolean_mask_34/concat', 'boolean_mask_34/Reshape', 'boolean_mask_34/Reshape_1/shape', 'boolean_mask_34/Reshape_1', 'boolean_mask_34/Where', 'boolean_mask_34/Squeeze', 'boolean_mask_34/GatherV2/axis', 'boolean_mask_34/GatherV2', 'strided_slice_72/stack', 'strided_slice_72/stack_1', 'strided_slice_72/stack_2', 'strided_slice_72', 'strided_slice_73/stack', 'strided_slice_73/stack_1', 'strided_slice_73/stack_2', 'strided_slice_73', 'boolean_mask_35/Shape', 'boolean_mask_35/strided_slice/stack', 'boolean_mask_35/strided_slice/stack_1', 'boolean_mask_35/strided_slice/stack_2', 'boolean_mask_35/strided_slice', 'boolean_mask_35/Prod/reduction_indices', 'boolean_mask_35/Prod', 'boolean_mask_35/Shape_1', 'boolean_mask_35/strided_slice_1/stack', 'boolean_mask_35/strided_slice_1/stack_1', 'boolean_mask_35/strided_slice_1/stack_2', 'boolean_mask_35/strided_slice_1', 'boolean_mask_35/Shape_2', 'boolean_mask_35/strided_slice_2/stack', 'boolean_mask_35/strided_slice_2/stack_1', 'boolean_mask_35/strided_slice_2/stack_2', 'boolean_mask_35/strided_slice_2', 'boolean_mask_35/concat/values_1', 'boolean_mask_35/concat/axis', 'boolean_mask_35/concat', 'boolean_mask_35/Reshape', 'boolean_mask_35/Reshape_1/shape', 'boolean_mask_35/Reshape_1', 'boolean_mask_35/Where', 'boolean_mask_35/Squeeze', 'boolean_mask_35/GatherV2/axis', 'boolean_mask_35/GatherV2', 'non_max_suppression_11/iou_threshold', 'non_max_suppression_11/score_threshold', 'non_max_suppression_11/NonMaxSuppressionV3', 'embedding_lookup_33/axis', 'embedding_lookup_33', 'embedding_lookup_33/Identity', 'embedding_lookup_34/axis', 'embedding_lookup_34', 'embedding_lookup_34/Identity', 'embedding_lookup_35/axis', 'embedding_lookup_35', 'embedding_lookup_35/Identity', 'ones_like_11/Shape', 'ones_like_11/Const', 'ones_like_11', 'mul_19/y', 'mul_19', 'strided_slice_74/stack', 'strided_slice_74/stack_1', 'strided_slice_74/stack_2', 'strided_slice_74', 'boolean_mask_36/Shape', 'boolean_mask_36/strided_slice/stack', 'boolean_mask_36/strided_slice/stack_1', 'boolean_mask_36/strided_slice/stack_2', 'boolean_mask_36/strided_slice', 'boolean_mask_36/Prod/reduction_indices', 'boolean_mask_36/Prod', 'boolean_mask_36/Shape_1', 'boolean_mask_36/strided_slice_1/stack', 'boolean_mask_36/strided_slice_1/stack_1', 'boolean_mask_36/strided_slice_1/stack_2', 'boolean_mask_36/strided_slice_1', 'boolean_mask_36/Shape_2', 'boolean_mask_36/strided_slice_2/stack', 'boolean_mask_36/strided_slice_2/stack_1', 'boolean_mask_36/strided_slice_2/stack_2', 'boolean_mask_36/strided_slice_2', 'boolean_mask_36/concat/values_1', 'boolean_mask_36/concat/axis', 'boolean_mask_36/concat', 'boolean_mask_36/Reshape', 'boolean_mask_36/Reshape_1/shape', 'boolean_mask_36/Reshape_1', 'boolean_mask_36/Where', 'boolean_mask_36/Squeeze', 'boolean_mask_36/GatherV2/axis', 'boolean_mask_36/GatherV2', 'strided_slice_75/stack', 'strided_slice_75/stack_1', 'strided_slice_75/stack_2', 'strided_slice_75', 'boolean_mask_37/Shape', 'boolean_mask_37/strided_slice/stack', 'boolean_mask_37/strided_slice/stack_1', 'boolean_mask_37/strided_slice/stack_2', 'boolean_mask_37/strided_slice', 'boolean_mask_37/Prod/reduction_indices', 'boolean_mask_37/Prod', 'boolean_mask_37/Shape_1', 'boolean_mask_37/strided_slice_1/stack', 'boolean_mask_37/strided_slice_1/stack_1', 'boolean_mask_37/strided_slice_1/stack_2', 'boolean_mask_37/strided_slice_1', 'boolean_mask_37/Shape_2', 'boolean_mask_37/strided_slice_2/stack', 'boolean_mask_37/strided_slice_2/stack_1', 'boolean_mask_37/strided_slice_2/stack_2', 'boolean_mask_37/strided_slice_2', 'boolean_mask_37/concat/values_1', 'boolean_mask_37/concat/axis', 'boolean_mask_37/concat', 'boolean_mask_37/Reshape', 'boolean_mask_37/Reshape_1/shape', 'boolean_mask_37/Reshape_1', 'boolean_mask_37/Where', 'boolean_mask_37/Squeeze', 'boolean_mask_37/GatherV2/axis', 'boolean_mask_37/GatherV2', 'strided_slice_76/stack', 'strided_slice_76/stack_1', 'strided_slice_76/stack_2', 'strided_slice_76', 'strided_slice_77/stack', 'strided_slice_77/stack_1', 'strided_slice_77/stack_2', 'strided_slice_77', 'boolean_mask_38/Shape', 'boolean_mask_38/strided_slice/stack', 'boolean_mask_38/strided_slice/stack_1', 'boolean_mask_38/strided_slice/stack_2', 'boolean_mask_38/strided_slice', 'boolean_mask_38/Prod/reduction_indices', 'boolean_mask_38/Prod', 'boolean_mask_38/Shape_1', 'boolean_mask_38/strided_slice_1/stack', 'boolean_mask_38/strided_slice_1/stack_1', 'boolean_mask_38/strided_slice_1/stack_2', 'boolean_mask_38/strided_slice_1', 'boolean_mask_38/Shape_2', 'boolean_mask_38/strided_slice_2/stack', 'boolean_mask_38/strided_slice_2/stack_1', 'boolean_mask_38/strided_slice_2/stack_2', 'boolean_mask_38/strided_slice_2', 'boolean_mask_38/concat/values_1', 'boolean_mask_38/concat/axis', 'boolean_mask_38/concat', 'boolean_mask_38/Reshape', 'boolean_mask_38/Reshape_1/shape', 'boolean_mask_38/Reshape_1', 'boolean_mask_38/Where', 'boolean_mask_38/Squeeze', 'boolean_mask_38/GatherV2/axis', 'boolean_mask_38/GatherV2', 'non_max_suppression_12/iou_threshold', 'non_max_suppression_12/score_threshold', 'non_max_suppression_12/NonMaxSuppressionV3', 'embedding_lookup_36/axis', 'embedding_lookup_36', 'embedding_lookup_36/Identity', 'embedding_lookup_37/axis', 'embedding_lookup_37', 'embedding_lookup_37/Identity', 'embedding_lookup_38/axis', 'embedding_lookup_38', 'embedding_lookup_38/Identity', 'ones_like_12/Shape', 'ones_like_12/Const', 'ones_like_12', 'mul_20/y', 'mul_20', 'concat_6/axis', 'concat_6', 'concat_7/axis', 'concat_7', 'concat_8/axis', 'concat_8', 'concat_9/axis', 'concat_9', 'input_2', 'conv2d_70/random_uniform/shape', 'conv2d_70/random_uniform/min', 'conv2d_70/random_uniform/max', 'conv2d_70/random_uniform/RandomUniform', 'conv2d_70/random_uniform/sub', 'conv2d_70/random_uniform/mul', 'conv2d_70/random_uniform', 'conv2d_70/kernel', 'conv2d_70/kernel/Assign', 'conv2d_70/kernel/read', 'conv2d_70/weight_regularizer/Square', 'conv2d_70/weight_regularizer/Const', 'conv2d_70/weight_regularizer/Sum', 'conv2d_70/weight_regularizer/mul/x', 'conv2d_70/weight_regularizer/mul', 'conv2d_70/weight_regularizer/add/x', 'conv2d_70/weight_regularizer/add', 'conv2d_70/convolution', 'batch_normalization_69/Const', 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'boolean_mask_44/strided_slice/stack_2', 'boolean_mask_44/strided_slice', 'boolean_mask_44/Prod/reduction_indices', 'boolean_mask_44/Prod', 'boolean_mask_44/Shape_1', 'boolean_mask_44/strided_slice_1/stack', 'boolean_mask_44/strided_slice_1/stack_1', 'boolean_mask_44/strided_slice_1/stack_2', 'boolean_mask_44/strided_slice_1', 'boolean_mask_44/Shape_2', 'boolean_mask_44/strided_slice_2/stack', 'boolean_mask_44/strided_slice_2/stack_1', 'boolean_mask_44/strided_slice_2/stack_2', 'boolean_mask_44/strided_slice_2', 'boolean_mask_44/concat/values_1', 'boolean_mask_44/concat/axis', 'boolean_mask_44/concat', 'boolean_mask_44/Reshape', 'boolean_mask_44/Reshape_1/shape', 'boolean_mask_44/Reshape_1', 'boolean_mask_44/Where', 'boolean_mask_44/Squeeze', 'boolean_mask_44/GatherV2/axis', 'boolean_mask_44/GatherV2', 'non_max_suppression_14/iou_threshold', 'non_max_suppression_14/score_threshold', 'non_max_suppression_14/NonMaxSuppressionV3', 'embedding_lookup_42/axis', 'embedding_lookup_42', 'embedding_lookup_42/Identity', 'embedding_lookup_43/axis', 'embedding_lookup_43', 'embedding_lookup_43/Identity', 'embedding_lookup_44/axis', 'embedding_lookup_44', 'embedding_lookup_44/Identity', 'ones_like_14/Shape', 'ones_like_14/Const', 'ones_like_14', 'mul_30/y', 'mul_30', 'strided_slice_112/stack', 'strided_slice_112/stack_1', 'strided_slice_112/stack_2', 'strided_slice_112', 'boolean_mask_45/Shape', 'boolean_mask_45/strided_slice/stack', 'boolean_mask_45/strided_slice/stack_1', 'boolean_mask_45/strided_slice/stack_2', 'boolean_mask_45/strided_slice', 'boolean_mask_45/Prod/reduction_indices', 'boolean_mask_45/Prod', 'boolean_mask_45/Shape_1', 'boolean_mask_45/strided_slice_1/stack', 'boolean_mask_45/strided_slice_1/stack_1', 'boolean_mask_45/strided_slice_1/stack_2', 'boolean_mask_45/strided_slice_1', 'boolean_mask_45/Shape_2', 'boolean_mask_45/strided_slice_2/stack', 'boolean_mask_45/strided_slice_2/stack_1', 'boolean_mask_45/strided_slice_2/stack_2', 'boolean_mask_45/strided_slice_2', 'boolean_mask_45/concat/values_1', 'boolean_mask_45/concat/axis', 'boolean_mask_45/concat', 'boolean_mask_45/Reshape', 'boolean_mask_45/Reshape_1/shape', 'boolean_mask_45/Reshape_1', 'boolean_mask_45/Where', 'boolean_mask_45/Squeeze', 'boolean_mask_45/GatherV2/axis', 'boolean_mask_45/GatherV2', 'strided_slice_113/stack', 'strided_slice_113/stack_1', 'strided_slice_113/stack_2', 'strided_slice_113', 'boolean_mask_46/Shape', 'boolean_mask_46/strided_slice/stack', 'boolean_mask_46/strided_slice/stack_1', 'boolean_mask_46/strided_slice/stack_2', 'boolean_mask_46/strided_slice', 'boolean_mask_46/Prod/reduction_indices', 'boolean_mask_46/Prod', 'boolean_mask_46/Shape_1', 'boolean_mask_46/strided_slice_1/stack', 'boolean_mask_46/strided_slice_1/stack_1', 'boolean_mask_46/strided_slice_1/stack_2', 'boolean_mask_46/strided_slice_1', 'boolean_mask_46/Shape_2', 'boolean_mask_46/strided_slice_2/stack', 'boolean_mask_46/strided_slice_2/stack_1', 'boolean_mask_46/strided_slice_2/stack_2', 'boolean_mask_46/strided_slice_2', 'boolean_mask_46/concat/values_1', 'boolean_mask_46/concat/axis', 'boolean_mask_46/concat', 'boolean_mask_46/Reshape', 'boolean_mask_46/Reshape_1/shape', 'boolean_mask_46/Reshape_1', 'boolean_mask_46/Where', 'boolean_mask_46/Squeeze', 'boolean_mask_46/GatherV2/axis', 'boolean_mask_46/GatherV2', 'strided_slice_114/stack', 'strided_slice_114/stack_1', 'strided_slice_114/stack_2', 'strided_slice_114', 'strided_slice_115/stack', 'strided_slice_115/stack_1', 'strided_slice_115/stack_2', 'strided_slice_115', 'boolean_mask_47/Shape', 'boolean_mask_47/strided_slice/stack', 'boolean_mask_47/strided_slice/stack_1', 'boolean_mask_47/strided_slice/stack_2', 'boolean_mask_47/strided_slice', 'boolean_mask_47/Prod/reduction_indices', 'boolean_mask_47/Prod', 'boolean_mask_47/Shape_1', 'boolean_mask_47/strided_slice_1/stack', 'boolean_mask_47/strided_slice_1/stack_1', 'boolean_mask_47/strided_slice_1/stack_2', 'boolean_mask_47/strided_slice_1', 'boolean_mask_47/Shape_2', 'boolean_mask_47/strided_slice_2/stack', 'boolean_mask_47/strided_slice_2/stack_1', 'boolean_mask_47/strided_slice_2/stack_2', 'boolean_mask_47/strided_slice_2', 'boolean_mask_47/concat/values_1', 'boolean_mask_47/concat/axis', 'boolean_mask_47/concat', 'boolean_mask_47/Reshape', 'boolean_mask_47/Reshape_1/shape', 'boolean_mask_47/Reshape_1', 'boolean_mask_47/Where', 'boolean_mask_47/Squeeze', 'boolean_mask_47/GatherV2/axis', 'boolean_mask_47/GatherV2', 'non_max_suppression_15/iou_threshold', 'non_max_suppression_15/score_threshold', 'non_max_suppression_15/NonMaxSuppressionV3', 'embedding_lookup_45/axis', 'embedding_lookup_45', 'embedding_lookup_45/Identity', 'embedding_lookup_46/axis', 'embedding_lookup_46', 'embedding_lookup_46/Identity', 'embedding_lookup_47/axis', 'embedding_lookup_47', 'embedding_lookup_47/Identity', 'ones_like_15/Shape', 'ones_like_15/Const', 'ones_like_15', 'mul_31/y', 'mul_31', 'strided_slice_116/stack', 'strided_slice_116/stack_1', 'strided_slice_116/stack_2', 'strided_slice_116', 'boolean_mask_48/Shape', 'boolean_mask_48/strided_slice/stack', 'boolean_mask_48/strided_slice/stack_1', 'boolean_mask_48/strided_slice/stack_2', 'boolean_mask_48/strided_slice', 'boolean_mask_48/Prod/reduction_indices', 'boolean_mask_48/Prod', 'boolean_mask_48/Shape_1', 'boolean_mask_48/strided_slice_1/stack', 'boolean_mask_48/strided_slice_1/stack_1', 'boolean_mask_48/strided_slice_1/stack_2', 'boolean_mask_48/strided_slice_1', 'boolean_mask_48/Shape_2', 'boolean_mask_48/strided_slice_2/stack', 'boolean_mask_48/strided_slice_2/stack_1', 'boolean_mask_48/strided_slice_2/stack_2', 'boolean_mask_48/strided_slice_2', 'boolean_mask_48/concat/values_1', 'boolean_mask_48/concat/axis', 'boolean_mask_48/concat', 'boolean_mask_48/Reshape', 'boolean_mask_48/Reshape_1/shape', 'boolean_mask_48/Reshape_1', 'boolean_mask_48/Where', 'boolean_mask_48/Squeeze', 'boolean_mask_48/GatherV2/axis', 'boolean_mask_48/GatherV2', 'strided_slice_117/stack', 'strided_slice_117/stack_1', 'strided_slice_117/stack_2', 'strided_slice_117', 'boolean_mask_49/Shape', 'boolean_mask_49/strided_slice/stack', 'boolean_mask_49/strided_slice/stack_1', 'boolean_mask_49/strided_slice/stack_2', 'boolean_mask_49/strided_slice', 'boolean_mask_49/Prod/reduction_indices', 'boolean_mask_49/Prod', 'boolean_mask_49/Shape_1', 'boolean_mask_49/strided_slice_1/stack', 'boolean_mask_49/strided_slice_1/stack_1', 'boolean_mask_49/strided_slice_1/stack_2', 'boolean_mask_49/strided_slice_1', 'boolean_mask_49/Shape_2', 'boolean_mask_49/strided_slice_2/stack', 'boolean_mask_49/strided_slice_2/stack_1', 'boolean_mask_49/strided_slice_2/stack_2', 'boolean_mask_49/strided_slice_2', 'boolean_mask_49/concat/values_1', 'boolean_mask_49/concat/axis', 'boolean_mask_49/concat', 'boolean_mask_49/Reshape', 'boolean_mask_49/Reshape_1/shape', 'boolean_mask_49/Reshape_1', 'boolean_mask_49/Where', 'boolean_mask_49/Squeeze', 'boolean_mask_49/GatherV2/axis', 'boolean_mask_49/GatherV2', 'strided_slice_118/stack', 'strided_slice_118/stack_1', 'strided_slice_118/stack_2', 'strided_slice_118', 'strided_slice_119/stack', 'strided_slice_119/stack_1', 'strided_slice_119/stack_2', 'strided_slice_119', 'boolean_mask_50/Shape', 'boolean_mask_50/strided_slice/stack', 'boolean_mask_50/strided_slice/stack_1', 'boolean_mask_50/strided_slice/stack_2', 'boolean_mask_50/strided_slice', 'boolean_mask_50/Prod/reduction_indices', 'boolean_mask_50/Prod', 'boolean_mask_50/Shape_1', 'boolean_mask_50/strided_slice_1/stack', 'boolean_mask_50/strided_slice_1/stack_1', 'boolean_mask_50/strided_slice_1/stack_2', 'boolean_mask_50/strided_slice_1', 'boolean_mask_50/Shape_2', 'boolean_mask_50/strided_slice_2/stack', 'boolean_mask_50/strided_slice_2/stack_1', 'boolean_mask_50/strided_slice_2/stack_2', 'boolean_mask_50/strided_slice_2', 'boolean_mask_50/concat/values_1', 'boolean_mask_50/concat/axis', 'boolean_mask_50/concat', 'boolean_mask_50/Reshape', 'boolean_mask_50/Reshape_1/shape', 'boolean_mask_50/Reshape_1', 'boolean_mask_50/Where', 'boolean_mask_50/Squeeze', 'boolean_mask_50/GatherV2/axis', 'boolean_mask_50/GatherV2', 'non_max_suppression_16/iou_threshold', 'non_max_suppression_16/score_threshold', 'non_max_suppression_16/NonMaxSuppressionV3', 'embedding_lookup_48/axis', 'embedding_lookup_48', 'embedding_lookup_48/Identity', 'embedding_lookup_49/axis', 'embedding_lookup_49', 'embedding_lookup_49/Identity', 'embedding_lookup_50/axis', 'embedding_lookup_50', 'embedding_lookup_50/Identity', 'ones_like_16/Shape', 'ones_like_16/Const', 'ones_like_16', 'mul_32/y', 'mul_32', 'strided_slice_120/stack', 'strided_slice_120/stack_1', 'strided_slice_120/stack_2', 'strided_slice_120', 'boolean_mask_51/Shape', 'boolean_mask_51/strided_slice/stack', 'boolean_mask_51/strided_slice/stack_1', 'boolean_mask_51/strided_slice/stack_2', 'boolean_mask_51/strided_slice', 'boolean_mask_51/Prod/reduction_indices', 'boolean_mask_51/Prod', 'boolean_mask_51/Shape_1', 'boolean_mask_51/strided_slice_1/stack', 'boolean_mask_51/strided_slice_1/stack_1', 'boolean_mask_51/strided_slice_1/stack_2', 'boolean_mask_51/strided_slice_1', 'boolean_mask_51/Shape_2', 'boolean_mask_51/strided_slice_2/stack', 'boolean_mask_51/strided_slice_2/stack_1', 'boolean_mask_51/strided_slice_2/stack_2', 'boolean_mask_51/strided_slice_2', 'boolean_mask_51/concat/values_1', 'boolean_mask_51/concat/axis', 'boolean_mask_51/concat', 'boolean_mask_51/Reshape', 'boolean_mask_51/Reshape_1/shape', 'boolean_mask_51/Reshape_1', 'boolean_mask_51/Where', 'boolean_mask_51/Squeeze', 'boolean_mask_51/GatherV2/axis', 'boolean_mask_51/GatherV2', 'strided_slice_121/stack', 'strided_slice_121/stack_1', 'strided_slice_121/stack_2', 'strided_slice_121', 'boolean_mask_52/Shape', 'boolean_mask_52/strided_slice/stack', 'boolean_mask_52/strided_slice/stack_1', 'boolean_mask_52/strided_slice/stack_2', 'boolean_mask_52/strided_slice', 'boolean_mask_52/Prod/reduction_indices', 'boolean_mask_52/Prod', 'boolean_mask_52/Shape_1', 'boolean_mask_52/strided_slice_1/stack', 'boolean_mask_52/strided_slice_1/stack_1', 'boolean_mask_52/strided_slice_1/stack_2', 'boolean_mask_52/strided_slice_1', 'boolean_mask_52/Shape_2', 'boolean_mask_52/strided_slice_2/stack', 'boolean_mask_52/strided_slice_2/stack_1', 'boolean_mask_52/strided_slice_2/stack_2', 'boolean_mask_52/strided_slice_2', 'boolean_mask_52/concat/values_1', 'boolean_mask_52/concat/axis', 'boolean_mask_52/concat', 'boolean_mask_52/Reshape', 'boolean_mask_52/Reshape_1/shape', 'boolean_mask_52/Reshape_1', 'boolean_mask_52/Where', 'boolean_mask_52/Squeeze', 'boolean_mask_52/GatherV2/axis', 'boolean_mask_52/GatherV2', 'strided_slice_122/stack', 'strided_slice_122/stack_1', 'strided_slice_122/stack_2', 'strided_slice_122', 'strided_slice_123/stack', 'strided_slice_123/stack_1', 'strided_slice_123/stack_2', 'strided_slice_123', 'boolean_mask_53/Shape', 'boolean_mask_53/strided_slice/stack', 'boolean_mask_53/strided_slice/stack_1', 'boolean_mask_53/strided_slice/stack_2', 'boolean_mask_53/strided_slice', 'boolean_mask_53/Prod/reduction_indices', 'boolean_mask_53/Prod', 'boolean_mask_53/Shape_1', 'boolean_mask_53/strided_slice_1/stack', 'boolean_mask_53/strided_slice_1/stack_1', 'boolean_mask_53/strided_slice_1/stack_2', 'boolean_mask_53/strided_slice_1', 'boolean_mask_53/Shape_2', 'boolean_mask_53/strided_slice_2/stack', 'boolean_mask_53/strided_slice_2/stack_1', 'boolean_mask_53/strided_slice_2/stack_2', 'boolean_mask_53/strided_slice_2', 'boolean_mask_53/concat/values_1', 'boolean_mask_53/concat/axis', 'boolean_mask_53/concat', 'boolean_mask_53/Reshape', 'boolean_mask_53/Reshape_1/shape', 'boolean_mask_53/Reshape_1', 'boolean_mask_53/Where', 'boolean_mask_53/Squeeze', 'boolean_mask_53/GatherV2/axis', 'boolean_mask_53/GatherV2', 'non_max_suppression_17/iou_threshold', 'non_max_suppression_17/score_threshold', 'non_max_suppression_17/NonMaxSuppressionV3', 'embedding_lookup_51/axis', 'embedding_lookup_51', 'embedding_lookup_51/Identity', 'embedding_lookup_52/axis', 'embedding_lookup_52', 'embedding_lookup_52/Identity', 'embedding_lookup_53/axis', 'embedding_lookup_53', 'embedding_lookup_53/Identity', 'ones_like_17/Shape', 'ones_like_17/Const', 'ones_like_17', 'mul_33/y', 'mul_33', 'strided_slice_124/stack', 'strided_slice_124/stack_1', 'strided_slice_124/stack_2', 'strided_slice_124', 'boolean_mask_54/Shape', 'boolean_mask_54/strided_slice/stack', 'boolean_mask_54/strided_slice/stack_1', 'boolean_mask_54/strided_slice/stack_2', 'boolean_mask_54/strided_slice', 'boolean_mask_54/Prod/reduction_indices', 'boolean_mask_54/Prod', 'boolean_mask_54/Shape_1', 'boolean_mask_54/strided_slice_1/stack', 'boolean_mask_54/strided_slice_1/stack_1', 'boolean_mask_54/strided_slice_1/stack_2', 'boolean_mask_54/strided_slice_1', 'boolean_mask_54/Shape_2', 'boolean_mask_54/strided_slice_2/stack', 'boolean_mask_54/strided_slice_2/stack_1', 'boolean_mask_54/strided_slice_2/stack_2', 'boolean_mask_54/strided_slice_2', 'boolean_mask_54/concat/values_1', 'boolean_mask_54/concat/axis', 'boolean_mask_54/concat', 'boolean_mask_54/Reshape', 'boolean_mask_54/Reshape_1/shape', 'boolean_mask_54/Reshape_1', 'boolean_mask_54/Where', 'boolean_mask_54/Squeeze', 'boolean_mask_54/GatherV2/axis', 'boolean_mask_54/GatherV2', 'strided_slice_125/stack', 'strided_slice_125/stack_1', 'strided_slice_125/stack_2', 'strided_slice_125', 'boolean_mask_55/Shape', 'boolean_mask_55/strided_slice/stack', 'boolean_mask_55/strided_slice/stack_1', 'boolean_mask_55/strided_slice/stack_2', 'boolean_mask_55/strided_slice', 'boolean_mask_55/Prod/reduction_indices', 'boolean_mask_55/Prod', 'boolean_mask_55/Shape_1', 'boolean_mask_55/strided_slice_1/stack', 'boolean_mask_55/strided_slice_1/stack_1', 'boolean_mask_55/strided_slice_1/stack_2', 'boolean_mask_55/strided_slice_1', 'boolean_mask_55/Shape_2', 'boolean_mask_55/strided_slice_2/stack', 'boolean_mask_55/strided_slice_2/stack_1', 'boolean_mask_55/strided_slice_2/stack_2', 'boolean_mask_55/strided_slice_2', 'boolean_mask_55/concat/values_1', 'boolean_mask_55/concat/axis', 'boolean_mask_55/concat', 'boolean_mask_55/Reshape', 'boolean_mask_55/Reshape_1/shape', 'boolean_mask_55/Reshape_1', 'boolean_mask_55/Where', 'boolean_mask_55/Squeeze', 'boolean_mask_55/GatherV2/axis', 'boolean_mask_55/GatherV2', 'strided_slice_126/stack', 'strided_slice_126/stack_1', 'strided_slice_126/stack_2', 'strided_slice_126', 'strided_slice_127/stack', 'strided_slice_127/stack_1', 'strided_slice_127/stack_2', 'strided_slice_127', 'boolean_mask_56/Shape', 'boolean_mask_56/strided_slice/stack', 'boolean_mask_56/strided_slice/stack_1', 'boolean_mask_56/strided_slice/stack_2', 'boolean_mask_56/strided_slice', 'boolean_mask_56/Prod/reduction_indices', 'boolean_mask_56/Prod', 'boolean_mask_56/Shape_1', 'boolean_mask_56/strided_slice_1/stack', 'boolean_mask_56/strided_slice_1/stack_1', 'boolean_mask_56/strided_slice_1/stack_2', 'boolean_mask_56/strided_slice_1', 'boolean_mask_56/Shape_2', 'boolean_mask_56/strided_slice_2/stack', 'boolean_mask_56/strided_slice_2/stack_1', 'boolean_mask_56/strided_slice_2/stack_2', 'boolean_mask_56/strided_slice_2', 'boolean_mask_56/concat/values_1', 'boolean_mask_56/concat/axis', 'boolean_mask_56/concat', 'boolean_mask_56/Reshape', 'boolean_mask_56/Reshape_1/shape', 'boolean_mask_56/Reshape_1', 'boolean_mask_56/Where', 'boolean_mask_56/Squeeze', 'boolean_mask_56/GatherV2/axis', 'boolean_mask_56/GatherV2', 'non_max_suppression_18/iou_threshold', 'non_max_suppression_18/score_threshold', 'non_max_suppression_18/NonMaxSuppressionV3', 'embedding_lookup_54/axis', 'embedding_lookup_54', 'embedding_lookup_54/Identity', 'embedding_lookup_55/axis', 'embedding_lookup_55', 'embedding_lookup_55/Identity', 'embedding_lookup_56/axis', 'embedding_lookup_56', 'embedding_lookup_56/Identity', 'ones_like_18/Shape', 'ones_like_18/Const', 'ones_like_18', 'mul_34/y', 'mul_34', 'strided_slice_128/stack', 'strided_slice_128/stack_1', 'strided_slice_128/stack_2', 'strided_slice_128', 'boolean_mask_57/Shape', 'boolean_mask_57/strided_slice/stack', 'boolean_mask_57/strided_slice/stack_1', 'boolean_mask_57/strided_slice/stack_2', 'boolean_mask_57/strided_slice', 'boolean_mask_57/Prod/reduction_indices', 'boolean_mask_57/Prod', 'boolean_mask_57/Shape_1', 'boolean_mask_57/strided_slice_1/stack', 'boolean_mask_57/strided_slice_1/stack_1', 'boolean_mask_57/strided_slice_1/stack_2', 'boolean_mask_57/strided_slice_1', 'boolean_mask_57/Shape_2', 'boolean_mask_57/strided_slice_2/stack', 'boolean_mask_57/strided_slice_2/stack_1', 'boolean_mask_57/strided_slice_2/stack_2', 'boolean_mask_57/strided_slice_2', 'boolean_mask_57/concat/values_1', 'boolean_mask_57/concat/axis', 'boolean_mask_57/concat', 'boolean_mask_57/Reshape', 'boolean_mask_57/Reshape_1/shape', 'boolean_mask_57/Reshape_1', 'boolean_mask_57/Where', 'boolean_mask_57/Squeeze', 'boolean_mask_57/GatherV2/axis', 'boolean_mask_57/GatherV2', 'strided_slice_129/stack', 'strided_slice_129/stack_1', 'strided_slice_129/stack_2', 'strided_slice_129', 'boolean_mask_58/Shape', 'boolean_mask_58/strided_slice/stack', 'boolean_mask_58/strided_slice/stack_1', 'boolean_mask_58/strided_slice/stack_2', 'boolean_mask_58/strided_slice', 'boolean_mask_58/Prod/reduction_indices', 'boolean_mask_58/Prod', 'boolean_mask_58/Shape_1', 'boolean_mask_58/strided_slice_1/stack', 'boolean_mask_58/strided_slice_1/stack_1', 'boolean_mask_58/strided_slice_1/stack_2', 'boolean_mask_58/strided_slice_1', 'boolean_mask_58/Shape_2', 'boolean_mask_58/strided_slice_2/stack', 'boolean_mask_58/strided_slice_2/stack_1', 'boolean_mask_58/strided_slice_2/stack_2', 'boolean_mask_58/strided_slice_2', 'boolean_mask_58/concat/values_1', 'boolean_mask_58/concat/axis', 'boolean_mask_58/concat', 'boolean_mask_58/Reshape', 'boolean_mask_58/Reshape_1/shape', 'boolean_mask_58/Reshape_1', 'boolean_mask_58/Where', 'boolean_mask_58/Squeeze', 'boolean_mask_58/GatherV2/axis', 'boolean_mask_58/GatherV2', 'strided_slice_130/stack', 'strided_slice_130/stack_1', 'strided_slice_130/stack_2', 'strided_slice_130', 'strided_slice_131/stack', 'strided_slice_131/stack_1', 'strided_slice_131/stack_2', 'strided_slice_131', 'boolean_mask_59/Shape', 'boolean_mask_59/strided_slice/stack', 'boolean_mask_59/strided_slice/stack_1', 'boolean_mask_59/strided_slice/stack_2', 'boolean_mask_59/strided_slice', 'boolean_mask_59/Prod/reduction_indices', 'boolean_mask_59/Prod', 'boolean_mask_59/Shape_1', 'boolean_mask_59/strided_slice_1/stack', 'boolean_mask_59/strided_slice_1/stack_1', 'boolean_mask_59/strided_slice_1/stack_2', 'boolean_mask_59/strided_slice_1', 'boolean_mask_59/Shape_2', 'boolean_mask_59/strided_slice_2/stack', 'boolean_mask_59/strided_slice_2/stack_1', 'boolean_mask_59/strided_slice_2/stack_2', 'boolean_mask_59/strided_slice_2', 'boolean_mask_59/concat/values_1', 'boolean_mask_59/concat/axis', 'boolean_mask_59/concat', 'boolean_mask_59/Reshape', 'boolean_mask_59/Reshape_1/shape', 'boolean_mask_59/Reshape_1', 'boolean_mask_59/Where', 'boolean_mask_59/Squeeze', 'boolean_mask_59/GatherV2/axis', 'boolean_mask_59/GatherV2', 'non_max_suppression_19/iou_threshold', 'non_max_suppression_19/score_threshold', 'non_max_suppression_19/NonMaxSuppressionV3', 'embedding_lookup_57/axis', 'embedding_lookup_57', 'embedding_lookup_57/Identity', 'embedding_lookup_58/axis', 'embedding_lookup_58', 'embedding_lookup_58/Identity', 'embedding_lookup_59/axis', 'embedding_lookup_59', 'embedding_lookup_59/Identity', 'ones_like_19/Shape', 'ones_like_19/Const', 'ones_like_19', 'mul_35/y', 'mul_35', 'strided_slice_132/stack', 'strided_slice_132/stack_1', 'strided_slice_132/stack_2', 'strided_slice_132', 'boolean_mask_60/Shape', 'boolean_mask_60/strided_slice/stack', 'boolean_mask_60/strided_slice/stack_1', 'boolean_mask_60/strided_slice/stack_2', 'boolean_mask_60/strided_slice', 'boolean_mask_60/Prod/reduction_indices', 'boolean_mask_60/Prod', 'boolean_mask_60/Shape_1', 'boolean_mask_60/strided_slice_1/stack', 'boolean_mask_60/strided_slice_1/stack_1', 'boolean_mask_60/strided_slice_1/stack_2', 'boolean_mask_60/strided_slice_1', 'boolean_mask_60/Shape_2', 'boolean_mask_60/strided_slice_2/stack', 'boolean_mask_60/strided_slice_2/stack_1', 'boolean_mask_60/strided_slice_2/stack_2', 'boolean_mask_60/strided_slice_2', 'boolean_mask_60/concat/values_1', 'boolean_mask_60/concat/axis', 'boolean_mask_60/concat', 'boolean_mask_60/Reshape', 'boolean_mask_60/Reshape_1/shape', 'boolean_mask_60/Reshape_1', 'boolean_mask_60/Where', 'boolean_mask_60/Squeeze', 'boolean_mask_60/GatherV2/axis', 'boolean_mask_60/GatherV2', 'strided_slice_133/stack', 'strided_slice_133/stack_1', 'strided_slice_133/stack_2', 'strided_slice_133', 'boolean_mask_61/Shape', 'boolean_mask_61/strided_slice/stack', 'boolean_mask_61/strided_slice/stack_1', 'boolean_mask_61/strided_slice/stack_2', 'boolean_mask_61/strided_slice', 'boolean_mask_61/Prod/reduction_indices', 'boolean_mask_61/Prod', 'boolean_mask_61/Shape_1', 'boolean_mask_61/strided_slice_1/stack', 'boolean_mask_61/strided_slice_1/stack_1', 'boolean_mask_61/strided_slice_1/stack_2', 'boolean_mask_61/strided_slice_1', 'boolean_mask_61/Shape_2', 'boolean_mask_61/strided_slice_2/stack', 'boolean_mask_61/strided_slice_2/stack_1', 'boolean_mask_61/strided_slice_2/stack_2', 'boolean_mask_61/strided_slice_2', 'boolean_mask_61/concat/values_1', 'boolean_mask_61/concat/axis', 'boolean_mask_61/concat', 'boolean_mask_61/Reshape', 'boolean_mask_61/Reshape_1/shape', 'boolean_mask_61/Reshape_1', 'boolean_mask_61/Where', 'boolean_mask_61/Squeeze', 'boolean_mask_61/GatherV2/axis', 'boolean_mask_61/GatherV2', 'strided_slice_134/stack', 'strided_slice_134/stack_1', 'strided_slice_134/stack_2', 'strided_slice_134', 'strided_slice_135/stack', 'strided_slice_135/stack_1', 'strided_slice_135/stack_2', 'strided_slice_135', 'boolean_mask_62/Shape', 'boolean_mask_62/strided_slice/stack', 'boolean_mask_62/strided_slice/stack_1', 'boolean_mask_62/strided_slice/stack_2', 'boolean_mask_62/strided_slice', 'boolean_mask_62/Prod/reduction_indices', 'boolean_mask_62/Prod', 'boolean_mask_62/Shape_1', 'boolean_mask_62/strided_slice_1/stack', 'boolean_mask_62/strided_slice_1/stack_1', 'boolean_mask_62/strided_slice_1/stack_2', 'boolean_mask_62/strided_slice_1', 'boolean_mask_62/Shape_2', 'boolean_mask_62/strided_slice_2/stack', 'boolean_mask_62/strided_slice_2/stack_1', 'boolean_mask_62/strided_slice_2/stack_2', 'boolean_mask_62/strided_slice_2', 'boolean_mask_62/concat/values_1', 'boolean_mask_62/concat/axis', 'boolean_mask_62/concat', 'boolean_mask_62/Reshape', 'boolean_mask_62/Reshape_1/shape', 'boolean_mask_62/Reshape_1', 'boolean_mask_62/Where', 'boolean_mask_62/Squeeze', 'boolean_mask_62/GatherV2/axis', 'boolean_mask_62/GatherV2', 'non_max_suppression_20/iou_threshold', 'non_max_suppression_20/score_threshold', 'non_max_suppression_20/NonMaxSuppressionV3', 'embedding_lookup_60/axis', 'embedding_lookup_60', 'embedding_lookup_60/Identity', 'embedding_lookup_61/axis', 'embedding_lookup_61', 'embedding_lookup_61/Identity', 'embedding_lookup_62/axis', 'embedding_lookup_62', 'embedding_lookup_62/Identity', 'ones_like_20/Shape', 'ones_like_20/Const', 'ones_like_20', 'mul_36/y', 'mul_36', 'strided_slice_136/stack', 'strided_slice_136/stack_1', 'strided_slice_136/stack_2', 'strided_slice_136', 'boolean_mask_63/Shape', 'boolean_mask_63/strided_slice/stack', 'boolean_mask_63/strided_slice/stack_1', 'boolean_mask_63/strided_slice/stack_2', 'boolean_mask_63/strided_slice', 'boolean_mask_63/Prod/reduction_indices', 'boolean_mask_63/Prod', 'boolean_mask_63/Shape_1', 'boolean_mask_63/strided_slice_1/stack', 'boolean_mask_63/strided_slice_1/stack_1', 'boolean_mask_63/strided_slice_1/stack_2', 'boolean_mask_63/strided_slice_1', 'boolean_mask_63/Shape_2', 'boolean_mask_63/strided_slice_2/stack', 'boolean_mask_63/strided_slice_2/stack_1', 'boolean_mask_63/strided_slice_2/stack_2', 'boolean_mask_63/strided_slice_2', 'boolean_mask_63/concat/values_1', 'boolean_mask_63/concat/axis', 'boolean_mask_63/concat', 'boolean_mask_63/Reshape', 'boolean_mask_63/Reshape_1/shape', 'boolean_mask_63/Reshape_1', 'boolean_mask_63/Where', 'boolean_mask_63/Squeeze', 'boolean_mask_63/GatherV2/axis', 'boolean_mask_63/GatherV2', 'strided_slice_137/stack', 'strided_slice_137/stack_1', 'strided_slice_137/stack_2', 'strided_slice_137', 'boolean_mask_64/Shape', 'boolean_mask_64/strided_slice/stack', 'boolean_mask_64/strided_slice/stack_1', 'boolean_mask_64/strided_slice/stack_2', 'boolean_mask_64/strided_slice', 'boolean_mask_64/Prod/reduction_indices', 'boolean_mask_64/Prod', 'boolean_mask_64/Shape_1', 'boolean_mask_64/strided_slice_1/stack', 'boolean_mask_64/strided_slice_1/stack_1', 'boolean_mask_64/strided_slice_1/stack_2', 'boolean_mask_64/strided_slice_1', 'boolean_mask_64/Shape_2', 'boolean_mask_64/strided_slice_2/stack', 'boolean_mask_64/strided_slice_2/stack_1', 'boolean_mask_64/strided_slice_2/stack_2', 'boolean_mask_64/strided_slice_2', 'boolean_mask_64/concat/values_1', 'boolean_mask_64/concat/axis', 'boolean_mask_64/concat', 'boolean_mask_64/Reshape', 'boolean_mask_64/Reshape_1/shape', 'boolean_mask_64/Reshape_1', 'boolean_mask_64/Where', 'boolean_mask_64/Squeeze', 'boolean_mask_64/GatherV2/axis', 'boolean_mask_64/GatherV2', 'strided_slice_138/stack', 'strided_slice_138/stack_1', 'strided_slice_138/stack_2', 'strided_slice_138', 'strided_slice_139/stack', 'strided_slice_139/stack_1', 'strided_slice_139/stack_2', 'strided_slice_139', 'boolean_mask_65/Shape', 'boolean_mask_65/strided_slice/stack', 'boolean_mask_65/strided_slice/stack_1', 'boolean_mask_65/strided_slice/stack_2', 'boolean_mask_65/strided_slice', 'boolean_mask_65/Prod/reduction_indices', 'boolean_mask_65/Prod', 'boolean_mask_65/Shape_1', 'boolean_mask_65/strided_slice_1/stack', 'boolean_mask_65/strided_slice_1/stack_1', 'boolean_mask_65/strided_slice_1/stack_2', 'boolean_mask_65/strided_slice_1', 'boolean_mask_65/Shape_2', 'boolean_mask_65/strided_slice_2/stack', 'boolean_mask_65/strided_slice_2/stack_1', 'boolean_mask_65/strided_slice_2/stack_2', 'boolean_mask_65/strided_slice_2', 'boolean_mask_65/concat/values_1', 'boolean_mask_65/concat/axis', 'boolean_mask_65/concat', 'boolean_mask_65/Reshape', 'boolean_mask_65/Reshape_1/shape', 'boolean_mask_65/Reshape_1', 'boolean_mask_65/Where', 'boolean_mask_65/Squeeze', 'boolean_mask_65/GatherV2/axis', 'boolean_mask_65/GatherV2', 'non_max_suppression_21/iou_threshold', 'non_max_suppression_21/score_threshold', 'non_max_suppression_21/NonMaxSuppressionV3', 'embedding_lookup_63/axis', 'embedding_lookup_63', 'embedding_lookup_63/Identity', 'embedding_lookup_64/axis', 'embedding_lookup_64', 'embedding_lookup_64/Identity', 'embedding_lookup_65/axis', 'embedding_lookup_65', 'embedding_lookup_65/Identity', 'ones_like_21/Shape', 'ones_like_21/Const', 'ones_like_21', 'mul_37/y', 'mul_37', 'strided_slice_140/stack', 'strided_slice_140/stack_1', 'strided_slice_140/stack_2', 'strided_slice_140', 'boolean_mask_66/Shape', 'boolean_mask_66/strided_slice/stack', 'boolean_mask_66/strided_slice/stack_1', 'boolean_mask_66/strided_slice/stack_2', 'boolean_mask_66/strided_slice', 'boolean_mask_66/Prod/reduction_indices', 'boolean_mask_66/Prod', 'boolean_mask_66/Shape_1', 'boolean_mask_66/strided_slice_1/stack', 'boolean_mask_66/strided_slice_1/stack_1', 'boolean_mask_66/strided_slice_1/stack_2', 'boolean_mask_66/strided_slice_1', 'boolean_mask_66/Shape_2', 'boolean_mask_66/strided_slice_2/stack', 'boolean_mask_66/strided_slice_2/stack_1', 'boolean_mask_66/strided_slice_2/stack_2', 'boolean_mask_66/strided_slice_2', 'boolean_mask_66/concat/values_1', 'boolean_mask_66/concat/axis', 'boolean_mask_66/concat', 'boolean_mask_66/Reshape', 'boolean_mask_66/Reshape_1/shape', 'boolean_mask_66/Reshape_1', 'boolean_mask_66/Where', 'boolean_mask_66/Squeeze', 'boolean_mask_66/GatherV2/axis', 'boolean_mask_66/GatherV2', 'strided_slice_141/stack', 'strided_slice_141/stack_1', 'strided_slice_141/stack_2', 'strided_slice_141', 'boolean_mask_67/Shape', 'boolean_mask_67/strided_slice/stack', 'boolean_mask_67/strided_slice/stack_1', 'boolean_mask_67/strided_slice/stack_2', 'boolean_mask_67/strided_slice', 'boolean_mask_67/Prod/reduction_indices', 'boolean_mask_67/Prod', 'boolean_mask_67/Shape_1', 'boolean_mask_67/strided_slice_1/stack', 'boolean_mask_67/strided_slice_1/stack_1', 'boolean_mask_67/strided_slice_1/stack_2', 'boolean_mask_67/strided_slice_1', 'boolean_mask_67/Shape_2', 'boolean_mask_67/strided_slice_2/stack', 'boolean_mask_67/strided_slice_2/stack_1', 'boolean_mask_67/strided_slice_2/stack_2', 'boolean_mask_67/strided_slice_2', 'boolean_mask_67/concat/values_1', 'boolean_mask_67/concat/axis', 'boolean_mask_67/concat', 'boolean_mask_67/Reshape', 'boolean_mask_67/Reshape_1/shape', 'boolean_mask_67/Reshape_1', 'boolean_mask_67/Where', 'boolean_mask_67/Squeeze', 'boolean_mask_67/GatherV2/axis', 'boolean_mask_67/GatherV2', 'strided_slice_142/stack', 'strided_slice_142/stack_1', 'strided_slice_142/stack_2', 'strided_slice_142', 'strided_slice_143/stack', 'strided_slice_143/stack_1', 'strided_slice_143/stack_2', 'strided_slice_143', 'boolean_mask_68/Shape', 'boolean_mask_68/strided_slice/stack', 'boolean_mask_68/strided_slice/stack_1', 'boolean_mask_68/strided_slice/stack_2', 'boolean_mask_68/strided_slice', 'boolean_mask_68/Prod/reduction_indices', 'boolean_mask_68/Prod', 'boolean_mask_68/Shape_1', 'boolean_mask_68/strided_slice_1/stack', 'boolean_mask_68/strided_slice_1/stack_1', 'boolean_mask_68/strided_slice_1/stack_2', 'boolean_mask_68/strided_slice_1', 'boolean_mask_68/Shape_2', 'boolean_mask_68/strided_slice_2/stack', 'boolean_mask_68/strided_slice_2/stack_1', 'boolean_mask_68/strided_slice_2/stack_2', 'boolean_mask_68/strided_slice_2', 'boolean_mask_68/concat/values_1', 'boolean_mask_68/concat/axis', 'boolean_mask_68/concat', 'boolean_mask_68/Reshape', 'boolean_mask_68/Reshape_1/shape', 'boolean_mask_68/Reshape_1', 'boolean_mask_68/Where', 'boolean_mask_68/Squeeze', 'boolean_mask_68/GatherV2/axis', 'boolean_mask_68/GatherV2', 'non_max_suppression_22/iou_threshold', 'non_max_suppression_22/score_threshold', 'non_max_suppression_22/NonMaxSuppressionV3', 'embedding_lookup_66/axis', 'embedding_lookup_66', 'embedding_lookup_66/Identity', 'embedding_lookup_67/axis', 'embedding_lookup_67', 'embedding_lookup_67/Identity', 'embedding_lookup_68/axis', 'embedding_lookup_68', 'embedding_lookup_68/Identity', 'ones_like_22/Shape', 'ones_like_22/Const', 'ones_like_22', 'mul_38/y', 'mul_38', 'strided_slice_144/stack', 'strided_slice_144/stack_1', 'strided_slice_144/stack_2', 'strided_slice_144', 'boolean_mask_69/Shape', 'boolean_mask_69/strided_slice/stack', 'boolean_mask_69/strided_slice/stack_1', 'boolean_mask_69/strided_slice/stack_2', 'boolean_mask_69/strided_slice', 'boolean_mask_69/Prod/reduction_indices', 'boolean_mask_69/Prod', 'boolean_mask_69/Shape_1', 'boolean_mask_69/strided_slice_1/stack', 'boolean_mask_69/strided_slice_1/stack_1', 'boolean_mask_69/strided_slice_1/stack_2', 'boolean_mask_69/strided_slice_1', 'boolean_mask_69/Shape_2', 'boolean_mask_69/strided_slice_2/stack', 'boolean_mask_69/strided_slice_2/stack_1', 'boolean_mask_69/strided_slice_2/stack_2', 'boolean_mask_69/strided_slice_2', 'boolean_mask_69/concat/values_1', 'boolean_mask_69/concat/axis', 'boolean_mask_69/concat', 'boolean_mask_69/Reshape', 'boolean_mask_69/Reshape_1/shape', 'boolean_mask_69/Reshape_1', 'boolean_mask_69/Where', 'boolean_mask_69/Squeeze', 'boolean_mask_69/GatherV2/axis', 'boolean_mask_69/GatherV2', 'strided_slice_145/stack', 'strided_slice_145/stack_1', 'strided_slice_145/stack_2', 'strided_slice_145', 'boolean_mask_70/Shape', 'boolean_mask_70/strided_slice/stack', 'boolean_mask_70/strided_slice/stack_1', 'boolean_mask_70/strided_slice/stack_2', 'boolean_mask_70/strided_slice', 'boolean_mask_70/Prod/reduction_indices', 'boolean_mask_70/Prod', 'boolean_mask_70/Shape_1', 'boolean_mask_70/strided_slice_1/stack', 'boolean_mask_70/strided_slice_1/stack_1', 'boolean_mask_70/strided_slice_1/stack_2', 'boolean_mask_70/strided_slice_1', 'boolean_mask_70/Shape_2', 'boolean_mask_70/strided_slice_2/stack', 'boolean_mask_70/strided_slice_2/stack_1', 'boolean_mask_70/strided_slice_2/stack_2', 'boolean_mask_70/strided_slice_2', 'boolean_mask_70/concat/values_1', 'boolean_mask_70/concat/axis', 'boolean_mask_70/concat', 'boolean_mask_70/Reshape', 'boolean_mask_70/Reshape_1/shape', 'boolean_mask_70/Reshape_1', 'boolean_mask_70/Where', 'boolean_mask_70/Squeeze', 'boolean_mask_70/GatherV2/axis', 'boolean_mask_70/GatherV2', 'strided_slice_146/stack', 'strided_slice_146/stack_1', 'strided_slice_146/stack_2', 'strided_slice_146', 'strided_slice_147/stack', 'strided_slice_147/stack_1', 'strided_slice_147/stack_2', 'strided_slice_147', 'boolean_mask_71/Shape', 'boolean_mask_71/strided_slice/stack', 'boolean_mask_71/strided_slice/stack_1', 'boolean_mask_71/strided_slice/stack_2', 'boolean_mask_71/strided_slice', 'boolean_mask_71/Prod/reduction_indices', 'boolean_mask_71/Prod', 'boolean_mask_71/Shape_1', 'boolean_mask_71/strided_slice_1/stack', 'boolean_mask_71/strided_slice_1/stack_1', 'boolean_mask_71/strided_slice_1/stack_2', 'boolean_mask_71/strided_slice_1', 'boolean_mask_71/Shape_2', 'boolean_mask_71/strided_slice_2/stack', 'boolean_mask_71/strided_slice_2/stack_1', 'boolean_mask_71/strided_slice_2/stack_2', 'boolean_mask_71/strided_slice_2', 'boolean_mask_71/concat/values_1', 'boolean_mask_71/concat/axis', 'boolean_mask_71/concat', 'boolean_mask_71/Reshape', 'boolean_mask_71/Reshape_1/shape', 'boolean_mask_71/Reshape_1', 'boolean_mask_71/Where', 'boolean_mask_71/Squeeze', 'boolean_mask_71/GatherV2/axis', 'boolean_mask_71/GatherV2', 'non_max_suppression_23/iou_threshold', 'non_max_suppression_23/score_threshold', 'non_max_suppression_23/NonMaxSuppressionV3', 'embedding_lookup_69/axis', 'embedding_lookup_69', 'embedding_lookup_69/Identity', 'embedding_lookup_70/axis', 'embedding_lookup_70', 'embedding_lookup_70/Identity', 'embedding_lookup_71/axis', 'embedding_lookup_71', 'embedding_lookup_71/Identity', 'ones_like_23/Shape', 'ones_like_23/Const', 'ones_like_23', 'mul_39/y', 'mul_39', 'strided_slice_148/stack', 'strided_slice_148/stack_1', 'strided_slice_148/stack_2', 'strided_slice_148', 'boolean_mask_72/Shape', 'boolean_mask_72/strided_slice/stack', 'boolean_mask_72/strided_slice/stack_1', 'boolean_mask_72/strided_slice/stack_2', 'boolean_mask_72/strided_slice', 'boolean_mask_72/Prod/reduction_indices', 'boolean_mask_72/Prod', 'boolean_mask_72/Shape_1', 'boolean_mask_72/strided_slice_1/stack', 'boolean_mask_72/strided_slice_1/stack_1', 'boolean_mask_72/strided_slice_1/stack_2', 'boolean_mask_72/strided_slice_1', 'boolean_mask_72/Shape_2', 'boolean_mask_72/strided_slice_2/stack', 'boolean_mask_72/strided_slice_2/stack_1', 'boolean_mask_72/strided_slice_2/stack_2', 'boolean_mask_72/strided_slice_2', 'boolean_mask_72/concat/values_1', 'boolean_mask_72/concat/axis', 'boolean_mask_72/concat', 'boolean_mask_72/Reshape', 'boolean_mask_72/Reshape_1/shape', 'boolean_mask_72/Reshape_1', 'boolean_mask_72/Where', 'boolean_mask_72/Squeeze', 'boolean_mask_72/GatherV2/axis', 'boolean_mask_72/GatherV2', 'strided_slice_149/stack', 'strided_slice_149/stack_1', 'strided_slice_149/stack_2', 'strided_slice_149', 'boolean_mask_73/Shape', 'boolean_mask_73/strided_slice/stack', 'boolean_mask_73/strided_slice/stack_1', 'boolean_mask_73/strided_slice/stack_2', 'boolean_mask_73/strided_slice', 'boolean_mask_73/Prod/reduction_indices', 'boolean_mask_73/Prod', 'boolean_mask_73/Shape_1', 'boolean_mask_73/strided_slice_1/stack', 'boolean_mask_73/strided_slice_1/stack_1', 'boolean_mask_73/strided_slice_1/stack_2', 'boolean_mask_73/strided_slice_1', 'boolean_mask_73/Shape_2', 'boolean_mask_73/strided_slice_2/stack', 'boolean_mask_73/strided_slice_2/stack_1', 'boolean_mask_73/strided_slice_2/stack_2', 'boolean_mask_73/strided_slice_2', 'boolean_mask_73/concat/values_1', 'boolean_mask_73/concat/axis', 'boolean_mask_73/concat', 'boolean_mask_73/Reshape', 'boolean_mask_73/Reshape_1/shape', 'boolean_mask_73/Reshape_1', 'boolean_mask_73/Where', 'boolean_mask_73/Squeeze', 'boolean_mask_73/GatherV2/axis', 'boolean_mask_73/GatherV2', 'strided_slice_150/stack', 'strided_slice_150/stack_1', 'strided_slice_150/stack_2', 'strided_slice_150', 'strided_slice_151/stack', 'strided_slice_151/stack_1', 'strided_slice_151/stack_2', 'strided_slice_151', 'boolean_mask_74/Shape', 'boolean_mask_74/strided_slice/stack', 'boolean_mask_74/strided_slice/stack_1', 'boolean_mask_74/strided_slice/stack_2', 'boolean_mask_74/strided_slice', 'boolean_mask_74/Prod/reduction_indices', 'boolean_mask_74/Prod', 'boolean_mask_74/Shape_1', 'boolean_mask_74/strided_slice_1/stack', 'boolean_mask_74/strided_slice_1/stack_1', 'boolean_mask_74/strided_slice_1/stack_2', 'boolean_mask_74/strided_slice_1', 'boolean_mask_74/Shape_2', 'boolean_mask_74/strided_slice_2/stack', 'boolean_mask_74/strided_slice_2/stack_1', 'boolean_mask_74/strided_slice_2/stack_2', 'boolean_mask_74/strided_slice_2', 'boolean_mask_74/concat/values_1', 'boolean_mask_74/concat/axis', 'boolean_mask_74/concat', 'boolean_mask_74/Reshape', 'boolean_mask_74/Reshape_1/shape', 'boolean_mask_74/Reshape_1', 'boolean_mask_74/Where', 'boolean_mask_74/Squeeze', 'boolean_mask_74/GatherV2/axis', 'boolean_mask_74/GatherV2', 'non_max_suppression_24/iou_threshold', 'non_max_suppression_24/score_threshold', 'non_max_suppression_24/NonMaxSuppressionV3', 'embedding_lookup_72/axis', 'embedding_lookup_72', 'embedding_lookup_72/Identity', 'embedding_lookup_73/axis', 'embedding_lookup_73', 'embedding_lookup_73/Identity', 'embedding_lookup_74/axis', 'embedding_lookup_74', 'embedding_lookup_74/Identity', 'ones_like_24/Shape', 'ones_like_24/Const', 'ones_like_24', 'mul_40/y', 'mul_40', 'strided_slice_152/stack', 'strided_slice_152/stack_1', 'strided_slice_152/stack_2', 'strided_slice_152', 'boolean_mask_75/Shape', 'boolean_mask_75/strided_slice/stack', 'boolean_mask_75/strided_slice/stack_1', 'boolean_mask_75/strided_slice/stack_2', 'boolean_mask_75/strided_slice', 'boolean_mask_75/Prod/reduction_indices', 'boolean_mask_75/Prod', 'boolean_mask_75/Shape_1', 'boolean_mask_75/strided_slice_1/stack', 'boolean_mask_75/strided_slice_1/stack_1', 'boolean_mask_75/strided_slice_1/stack_2', 'boolean_mask_75/strided_slice_1', 'boolean_mask_75/Shape_2', 'boolean_mask_75/strided_slice_2/stack', 'boolean_mask_75/strided_slice_2/stack_1', 'boolean_mask_75/strided_slice_2/stack_2', 'boolean_mask_75/strided_slice_2', 'boolean_mask_75/concat/values_1', 'boolean_mask_75/concat/axis', 'boolean_mask_75/concat', 'boolean_mask_75/Reshape', 'boolean_mask_75/Reshape_1/shape', 'boolean_mask_75/Reshape_1', 'boolean_mask_75/Where', 'boolean_mask_75/Squeeze', 'boolean_mask_75/GatherV2/axis', 'boolean_mask_75/GatherV2', 'strided_slice_153/stack', 'strided_slice_153/stack_1', 'strided_slice_153/stack_2', 'strided_slice_153', 'boolean_mask_76/Shape', 'boolean_mask_76/strided_slice/stack', 'boolean_mask_76/strided_slice/stack_1', 'boolean_mask_76/strided_slice/stack_2', 'boolean_mask_76/strided_slice', 'boolean_mask_76/Prod/reduction_indices', 'boolean_mask_76/Prod', 'boolean_mask_76/Shape_1', 'boolean_mask_76/strided_slice_1/stack', 'boolean_mask_76/strided_slice_1/stack_1', 'boolean_mask_76/strided_slice_1/stack_2', 'boolean_mask_76/strided_slice_1', 'boolean_mask_76/Shape_2', 'boolean_mask_76/strided_slice_2/stack', 'boolean_mask_76/strided_slice_2/stack_1', 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'save/Assign_873', 'save/Assign_874', 'save/Assign_875', 'save/Assign_876', 'save/Assign_877', 'save/Assign_878', 'save/Assign_879', 'save/Assign_880', 'save/Assign_881', 'save/Assign_882', 'save/Assign_883', 'save/Assign_884', 'save/Assign_885', 'save/Assign_886', 'save/Assign_887', 'save/Assign_888', 'save/Assign_889', 'save/Assign_890', 'save/Assign_891', 'save/Assign_892', 'save/Assign_893', 'save/Assign_894', 'save/Assign_895', 'save/Assign_896', 'save/Assign_897', 'save/Assign_898', 'save/Assign_899', 'save/Assign_900', 'save/Assign_901', 'save/Assign_902', 'save/Assign_903', 'save/Assign_904', 'save/Assign_905', 'save/Assign_906', 'save/Assign_907', 'save/Assign_908', 'save/Assign_909', 'save/Assign_910', 'save/Assign_911', 'save/Assign_912', 'save/Assign_913', 'save/Assign_914', 'save/Assign_915', 'save/Assign_916', 'save/Assign_917', 'save/Assign_918', 'save/Assign_919', 'save/Assign_920', 'save/Assign_921', 'save/Assign_922', 'save/Assign_923', 'save/Assign_924', 'save/Assign_925', 'save/Assign_926', 'save/Assign_927', 'save/Assign_928', 'save/Assign_929', 'save/Assign_930', 'save/Assign_931', 'save/Assign_932', 'save/Assign_933', 'save/Assign_934', 'save/Assign_935', 'save/Assign_936', 'save/Assign_937', 'save/Assign_938', 'save/Assign_939', 'save/Assign_940', 'save/Assign_941', 'save/Assign_942', 'save/Assign_943', 'save/Assign_944', 'save/Assign_945', 'save/Assign_946', 'save/Assign_947', 'save/Assign_948', 'save/Assign_949', 'save/Assign_950', 'save/Assign_951', 'save/Assign_952', 'save/Assign_953', 'save/Assign_954', 'save/Assign_955', 'save/Assign_956', 'save/Assign_957', 'save/Assign_958', 'save/Assign_959', 'save/Assign_960', 'save/Assign_961', 'save/Assign_962', 'save/Assign_963', 'save/Assign_964', 'save/Assign_965', 'save/Assign_966', 'save/Assign_967', 'save/Assign_968', 'save/Assign_969', 'save/Assign_970', 'save/Assign_971', 'save/Assign_972', 'save/Assign_973', 'save/Assign_974', 'save/Assign_975', 'save/Assign_976', 'save/Assign_977', 'save/Assign_978', 'save/Assign_979', 'save/Assign_980', 'save/Assign_981', 'save/Assign_982', 'save/Assign_983', 'save/Assign_984', 'save/Assign_985', 'save/Assign_986', 'save/Assign_987', 'save/Assign_988', 'save/Assign_989', 'save/Assign_990', 'save/Assign_991', 'save/Assign_992', 'save/Assign_993', 'save/Assign_994', 'save/Assign_995', 'save/Assign_996', 'save/Assign_997', 'save/Assign_998', 'save/Assign_999', 'save/Assign_1000', 'save/Assign_1001', 'save/Assign_1002', 'save/Assign_1003', 'save/Assign_1004', 'save/Assign_1005', 'save/Assign_1006', 'save/Assign_1007', 'save/Assign_1008', 'save/Assign_1009', 'save/Assign_1010', 'save/Assign_1011', 'save/Assign_1012', 'save/Assign_1013', 'save/Assign_1014', 'save/Assign_1015', 'save/Assign_1016', 'save/Assign_1017', 'save/Assign_1018', 'save/Assign_1019', 'save/Assign_1020', 'save/Assign_1021', 'save/Assign_1022', 'save/Assign_1023', 'save/Assign_1024', 'save/Assign_1025', 'save/Assign_1026', 'save/Assign_1027', 'save/Assign_1028', 'save/Assign_1029', 'save/Assign_1030', 'save/Assign_1031', 'save/Assign_1032', 'save/Assign_1033', 'save/Assign_1034', 'save/Assign_1035', 'save/Assign_1036', 'save/Assign_1037', 'save/Assign_1038', 'save/Assign_1039', 'save/Assign_1040', 'save/Assign_1041', 'save/Assign_1042', 'save/Assign_1043', 'save/Assign_1044', 'save/Assign_1045', 'save/Assign_1046', 'save/Assign_1047', 'save/Assign_1048', 'save/Assign_1049', 'save/Assign_1050', 'save/Assign_1051', 'save/Assign_1052', 'save/Assign_1053', 'save/Assign_1054', 'save/Assign_1055', 'save/Assign_1056', 'save/Assign_1057', 'save/Assign_1058', 'save/Assign_1059', 'save/Assign_1060', 'save/Assign_1061', 'save/Assign_1062', 'save/Assign_1063', 'save/Assign_1064', 'save/Assign_1065', 'save/Assign_1066', 'save/Assign_1067', 'save/Assign_1068', 'save/Assign_1069', 'save/Assign_1070', 'save/Assign_1071', 'save/Assign_1072', 'save/Assign_1073', 'save/Assign_1074', 'save/Assign_1075', 'save/Assign_1076', 'save/Assign_1077', 'save/Assign_1078', 'save/Assign_1079', 'save/Assign_1080', 'save/Assign_1081', 'save/Assign_1082', 'save/Assign_1083', 'save/Assign_1084', 'save/Assign_1085', 'save/Assign_1086', 'save/Assign_1087', 'save/Assign_1088', 'save/Assign_1089', 'save/Assign_1090', 'save/Assign_1091', 'save/Assign_1092', 'save/Assign_1093', 'save/Assign_1094', 'save/Assign_1095', 'save/Assign_1096', 'save/Assign_1097', 'save/Assign_1098', 'save/Assign_1099', 'save/Assign_1100', 'save/Assign_1101', 'save/Assign_1102', 'save/Assign_1103', 'save/Assign_1104', 'save/Assign_1105', 'save/Assign_1106', 'save/Assign_1107', 'save/Assign_1108', 'save/Assign_1109', 'save/Assign_1110', 'save/Assign_1111', 'save/Assign_1112', 'save/Assign_1113', 'save/Assign_1114', 'save/Assign_1115', 'save/Assign_1116', 'save/Assign_1117', 'save/Assign_1118', 'save/Assign_1119', 'save/Assign_1120', 'save/Assign_1121', 'save/Assign_1122', 'save/Assign_1123', 'save/Assign_1124', 'save/Assign_1125', 'save/Assign_1126', 'save/Assign_1127', 'save/Assign_1128', 'save/Assign_1129', 'save/Assign_1130', 'save/Assign_1131', 'save/Assign_1132', 'save/Assign_1133', 'save/Assign_1134', 'save/Assign_1135', 'save/Assign_1136', 'save/Assign_1137', 'save/Assign_1138', 'save/Assign_1139', 'save/Assign_1140', 'save/Assign_1141', 'save/Assign_1142', 'save/Assign_1143', 'save/Assign_1144', 'save/Assign_1145', 'save/Assign_1146', 'save/Assign_1147', 'save/Assign_1148', 'save/Assign_1149', 'save/Assign_1150', 'save/Assign_1151', 'save/Assign_1152', 'save/Assign_1153', 'save/Assign_1154', 'save/Assign_1155', 'save/Assign_1156', 'save/Assign_1157', 'save/Assign_1158', 'save/Assign_1159', 'save/Assign_1160', 'save/Assign_1161', 'save/Assign_1162', 'save/Assign_1163', 'save/Assign_1164', 'save/Assign_1165', 'save/Assign_1166', 'save/Assign_1167', 'save/Assign_1168', 'save/Assign_1169', 'save/Assign_1170', 'save/Assign_1171', 'save/Assign_1172', 'save/Assign_1173', 'save/Assign_1174', 'save/Assign_1175', 'save/Assign_1176', 'save/Assign_1177', 'save/Assign_1178', 'save/Assign_1179', 'save/Assign_1180', 'save/Assign_1181', 'save/Assign_1182', 'save/Assign_1183', 'save/Assign_1184', 'save/Assign_1185', 'save/Assign_1186', 'save/Assign_1187', 'save/Assign_1188', 'save/Assign_1189', 'save/Assign_1190', 'save/Assign_1191', 'save/Assign_1192', 'save/Assign_1193', 'save/Assign_1194', 'save/Assign_1195', 'save/Assign_1196', 'save/Assign_1197', 'save/Assign_1198', 'save/Assign_1199', 'save/Assign_1200', 'save/Assign_1201', 'save/Assign_1202', 'save/Assign_1203', 'save/Assign_1204', 'save/Assign_1205', 'save/Assign_1206', 'save/Assign_1207', 'save/Assign_1208', 'save/Assign_1209', 'save/Assign_1210', 'save/Assign_1211', 'save/Assign_1212', 'save/Assign_1213', 'save/Assign_1214', 'save/Assign_1215', 'save/Assign_1216', 'save/Assign_1217', 'save/Assign_1218', 'save/Assign_1219', 'save/Assign_1220', 'save/Assign_1221', 'save/Assign_1222', 'save/Assign_1223', 'save/Assign_1224', 'save/Assign_1225', 'save/Assign_1226', 'save/Assign_1227', 'save/Assign_1228', 'save/Assign_1229', 'save/Assign_1230', 'save/Assign_1231', 'save/Assign_1232', 'save/Assign_1233', 'save/Assign_1234', 'save/Assign_1235', 'save/Assign_1236', 'save/Assign_1237', 'save/Assign_1238', 'save/Assign_1239', 'save/Assign_1240', 'save/Assign_1241', 'save/Assign_1242', 'save/Assign_1243', 'save/Assign_1244', 'save/Assign_1245', 'save/Assign_1246', 'save/Assign_1247', 'save/Assign_1248', 'save/Assign_1249', 'save/Assign_1250', 'save/Assign_1251', 'save/Assign_1252', 'save/Assign_1253', 'save/Assign_1254', 'save/Assign_1255', 'save/Assign_1256', 'save/Assign_1257', 'save/Assign_1258', 'save/Assign_1259', 'save/Assign_1260', 'save/Assign_1261', 'save/Assign_1262', 'save/Assign_1263', 'save/Assign_1264', 'save/Assign_1265', 'save/Assign_1266', 'save/Assign_1267', 'save/Assign_1268', 'save/Assign_1269', 'save/Assign_1270', 'save/Assign_1271', 'save/Assign_1272', 'save/Assign_1273', 'save/Assign_1274', 'save/Assign_1275', 'save/Assign_1276', 'save/Assign_1277', 'save/Assign_1278', 'save/Assign_1279', 'save/Assign_1280', 'save/Assign_1281', 'save/Assign_1282', 'save/Assign_1283', 'save/Assign_1284', 'save/Assign_1285', 'save/Assign_1286', 'save/Assign_1287', 'save/Assign_1288', 'save/Assign_1289', 'save/Assign_1290', 'save/Assign_1291', 'save/Assign_1292', 'save/Assign_1293', 'save/Assign_1294', 'save/Assign_1295', 'save/Assign_1296', 'save/Assign_1297', 'save/Assign_1298', 'save/Assign_1299', 'save/Assign_1300', 'save/Assign_1301', 'save/Assign_1302', 'save/Assign_1303', 'save/Assign_1304', 'save/Assign_1305', 'save/Assign_1306', 'save/Assign_1307', 'save/Assign_1308', 'save/Assign_1309', 'save/Assign_1310', 'save/Assign_1311', 'save/Assign_1312', 'save/Assign_1313', 'save/Assign_1314', 'save/Assign_1315', 'save/Assign_1316', 'save/Assign_1317', 'save/Assign_1318', 'save/Assign_1319', 'save/Assign_1320', 'save/Assign_1321', 'save/Assign_1322', 'save/Assign_1323', 'save/Assign_1324', 'save/Assign_1325', 'save/Assign_1326', 'save/Assign_1327', 'save/Assign_1328', 'save/Assign_1329', 'save/Assign_1330', 'save/Assign_1331', 'save/Assign_1332', 'save/Assign_1333', 'save/Assign_1334', 'save/Assign_1335', 'save/restore_all']\n"
     ]
    }
   ],
   "source": [
    "#check the node names \n",
    "nodes_names = [node.name for node in \n",
    "               tf.get_default_graph().as_graph_def().node]\n",
    "print(nodes_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!freeze_graph --help"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded meta graph file 'checkpoint.ckpt.meta\n",
      "WARNING:tensorflow:From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use standard file APIs to check for files with this prefix.\n",
      "W1012 00:24:29.624882 139963591964480 deprecation.py:323] From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use standard file APIs to check for files with this prefix.\n",
      "2020-10-12 00:24:29.658275: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2899885000 Hz\n",
      "2020-10-12 00:24:29.659324: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55688677c450 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
      "2020-10-12 00:24:29.659351: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
      "INFO:tensorflow:Restoring parameters from checkpoint.ckpt\n",
      "I1012 00:24:32.288279 139963591964480 saver.py:1284] Restoring parameters from checkpoint.ckpt\n",
      "WARNING:tensorflow:From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/tools/freeze_graph.py:226: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n",
      "W1012 00:24:34.049430 139963591964480 deprecation.py:323] From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/tools/freeze_graph.py:226: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n",
      "WARNING:tensorflow:From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.compat.v1.graph_util.extract_sub_graph`\n",
      "W1012 00:24:34.049584 139963591964480 deprecation.py:323] From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.compat.v1.graph_util.extract_sub_graph`\n",
      "INFO:tensorflow:Froze 396 variables.\n",
      "I1012 00:24:34.640538 139963591964480 graph_util_impl.py:334] Froze 396 variables.\n",
      "INFO:tensorflow:Converted 396 variables to const ops.\n",
      "I1012 00:24:34.862162 139963591964480 graph_util_impl.py:394] Converted 396 variables to const ops.\n"
     ]
    }
   ],
   "source": [
    "#Freeze Tensorflow graph: lastnode: concat_9; lastlayer: conv2d_69/BiasAdd\n",
    "!freeze_graph \\\n",
    "    --input_meta_graph checkpoint.ckpt.meta \\\n",
    "    --input_checkpoint checkpoint.ckpt \\\n",
    "    --output_graph frozen.pb \\\n",
    "    --output_node_names conv2d_69/BiasAdd \\\n",
    "    --variable_names_blacklist batch_normalization_1/gamma/read, batch_normalization_1/beta/read \\\n",
    "    --input_binary true"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Op types used: 926 Const, 396 Identity, 189 Reshape, 95 LeakyRelu, 84 Shape, 81 Pack, 69 Conv2D, 68 FusedBatchNormV3, 54 Unpack, 54 Transpose, 54 MatMul, 30 Mul, 30 StridedSlice, 30 AddV2, 27 Mean, 27 Sigmoid, 5 Pad, 3 ResizeBilinear, 1 Placeholder, 1 BiasAdd\r\n",
      "\r\n",
      "Found 1 possible inputs: (name=input_1, type=float(1), shape=[?,?,?,3]) \r\n",
      "Found 1 possible outputs: (name=conv2d_69/BiasAdd, op=BiasAdd) \r\n"
     ]
    }
   ],
   "source": [
    "#confirm available input and output node names\n",
    "!vai_q_tensorflow inspect --input_frozen_graph=frozen.pb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#Prepare calibration data and function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Calibration data: (32, 1024, 2048, 3), 4, float32\n"
     ]
    }
   ],
   "source": [
    "from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img\n",
    "\n",
    "dir_imgs_name = '../cityscapes/leftImg8bit_demoVideo/leftImg8bit/demoVideo/stuttgart_01/'  #path_where_are_images_to_clasification\n",
    "list_of_imgs = [root+\"/\"+name for root, dirs, files in os.walk(dir_imgs_name) for name in files]    \n",
    "list_of_imgs.sort()\n",
    "num_imgs = 32\n",
    "\n",
    "# get the 1st image with right shape\n",
    "img = load_img(list_of_imgs[0])  # this is a PIL image\n",
    "x = img_to_array(img)  # this is a Numpy array with shape (1024, 2048, 3)\n",
    "x = x.reshape((1,) + x.shape)  # this is a Numpy array with shape (1, 1024, 2048, 3)\n",
    "dataset_calib = x\n",
    "# fill in the following images\n",
    "imgs          = 0\n",
    "for im in range (1, num_imgs):#len(list_of_imgs)):\n",
    "    imgs    += 1\n",
    "    img = load_img(list_of_imgs[im])  # this is a PIL image\n",
    "    x = img_to_array(img)  # this is a Numpy array with shape (1024, 2048, 3)\n",
    "    x = x.reshape((1,) + x.shape)  # this is a Numpy array with shape (1, 1024, 2048, 3)\n",
    "    dataset_calib = np.append(dataset_calib, x, axis=0)\n",
    "print('Calibration data: {}, {}, {}'.format(dataset_calib.shape, dataset_calib.ndim, dataset_calib.dtype))\n",
    "\n",
    "np.savez('./calib_data.npz', data = dataset_calib[:num_imgs])\n",
    "\n",
    "del(dataset_calib)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting input_func.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile input_func.py\n",
    "import numpy as np\n",
    "\n",
    "data = np.load('calib_data.npz')['data']\n",
    "\n",
    "batch_size=1\n",
    "\n",
    "def calib_input(iter):\n",
    "\n",
    "    calib_data = data[iter*batch_size:(iter+1)*batch_size]\n",
    "\n",
    "    return {'input_1': calib_data}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!vai_q_tensorflow quantize --help"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Checking Float Graph...\n",
      "INFO: Float Graph Check Done.\n",
      "2020-10-12 00:24:50.371686: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_1/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.371749: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_2/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.371788: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_3/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.371827: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_4/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.371881: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_5/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.371941: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_6/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.371979: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_7/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372017: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_8/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372071: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_9/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372124: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_10/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372161: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_11/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372212: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_12/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372270: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_13/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372306: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_14/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372342: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_15/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372392: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_16/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372446: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_17/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372483: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_18/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372534: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_19/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372588: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_20/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372625: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_21/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372676: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_22/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372730: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_23/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372767: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_24/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372818: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_25/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372873: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_26/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372911: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_27/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.372961: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_28/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373016: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_29/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373053: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_30/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373105: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_31/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373159: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_32/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373197: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_33/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373249: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_34/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373307: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_35/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373344: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_36/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373397: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_37/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373454: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_38/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373491: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_39/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373530: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_40/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373583: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_41/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373637: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_42/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373675: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_43/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373727: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_44/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373782: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_45/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373820: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_46/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373893: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_47/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373961: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_48/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.373998: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_49/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374050: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_50/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374105: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_51/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374143: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_52/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374195: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_53/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374249: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_54/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374286: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_55/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374338: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_56/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374392: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_57/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374430: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_58/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374481: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_59/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374536: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_60/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374574: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_61/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374626: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_62/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374684: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_63/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374721: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_64/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374759: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_65/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374813: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_66/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374867: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_67/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374905: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_68/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.374957: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_69/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375012: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_70/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375051: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_71/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375104: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_72/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375159: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_73/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375196: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_74/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375250: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_75/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375305: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_76/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375343: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_77/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375395: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_78/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375452: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_79/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375490: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_80/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375544: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_81/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375600: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_82/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375639: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_83/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375695: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_84/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375751: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_85/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375789: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_86/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375847: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_87/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375907: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_88/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375947: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_89/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.375988: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_90/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.376029: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_91/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.376109: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_92/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.376148: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_93/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.376187: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_94/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n",
      "2020-10-12 00:24:50.376224: W tensorflow/contrib/decent_q/utils/quantize_utils.cc:722] Convert alpha of leaky_relu nodeleaky_re_lu_95/LeakyRelu from 0.1 to 26/256 to simulate DPU.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-10-12 00:24:51.230565: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_1/LeakyRelu(LeakyRelu) <-- batch_normalization_1/FusedBatchNormV3_1/add(Add) <-- conv2d_1/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230598: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_2/LeakyRelu(LeakyRelu) <-- batch_normalization_2/FusedBatchNormV3_1/add(Add) <-- conv2d_2/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230615: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_3/LeakyRelu(LeakyRelu) <-- batch_normalization_3/FusedBatchNormV3_1/add(Add) <-- conv2d_3/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230631: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_4/LeakyRelu(LeakyRelu) <-- batch_normalization_4/FusedBatchNormV3_1/add(Add) <-- conv2d_4/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230647: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_6/LeakyRelu(LeakyRelu) <-- batch_normalization_5/FusedBatchNormV3_1/add(Add) <-- conv2d_5/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230685: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_7/LeakyRelu(LeakyRelu) <-- batch_normalization_6/FusedBatchNormV3_1/add(Add) <-- conv2d_6/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230701: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_8/LeakyRelu(LeakyRelu) <-- batch_normalization_7/FusedBatchNormV3_1/add(Add) <-- conv2d_7/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230745: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_10/LeakyRelu(LeakyRelu) <-- batch_normalization_8/FusedBatchNormV3_1/add(Add) <-- conv2d_8/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230761: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_11/LeakyRelu(LeakyRelu) <-- batch_normalization_9/FusedBatchNormV3_1/add(Add) <-- conv2d_9/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230790: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_88/LeakyRelu(LeakyRelu) <-- batch_normalization_61/FusedBatchNormV3_1/add(Add) <-- conv2d_61/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230821: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_13/LeakyRelu(LeakyRelu) <-- batch_normalization_10/FusedBatchNormV3_1/add(Add) <-- conv2d_10/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230850: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_14/LeakyRelu(LeakyRelu) <-- batch_normalization_11/FusedBatchNormV3_1/add(Add) <-- conv2d_11/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230880: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_15/LeakyRelu(LeakyRelu) <-- batch_normalization_12/FusedBatchNormV3_1/add(Add) <-- conv2d_12/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230897: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_17/LeakyRelu(LeakyRelu) <-- batch_normalization_13/FusedBatchNormV3_1/add(Add) <-- conv2d_13/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230926: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_18/LeakyRelu(LeakyRelu) <-- batch_normalization_14/FusedBatchNormV3_1/add(Add) <-- conv2d_14/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.230970: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_20/LeakyRelu(LeakyRelu) <-- batch_normalization_15/FusedBatchNormV3_1/add(Add) <-- conv2d_15/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231003: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_21/LeakyRelu(LeakyRelu) <-- batch_normalization_16/FusedBatchNormV3_1/add(Add) <-- conv2d_16/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231018: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_23/LeakyRelu(LeakyRelu) <-- batch_normalization_17/FusedBatchNormV3_1/add(Add) <-- conv2d_17/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231034: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_24/LeakyRelu(LeakyRelu) <-- batch_normalization_18/FusedBatchNormV3_1/add(Add) <-- conv2d_18/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231049: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_26/LeakyRelu(LeakyRelu) <-- batch_normalization_19/FusedBatchNormV3_1/add(Add) <-- conv2d_19/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231065: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_27/LeakyRelu(LeakyRelu) <-- batch_normalization_20/FusedBatchNormV3_1/add(Add) <-- conv2d_20/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231080: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_29/LeakyRelu(LeakyRelu) <-- batch_normalization_21/FusedBatchNormV3_1/add(Add) <-- conv2d_21/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231125: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_30/LeakyRelu(LeakyRelu) <-- batch_normalization_22/FusedBatchNormV3_1/add(Add) <-- conv2d_22/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231140: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_32/LeakyRelu(LeakyRelu) <-- batch_normalization_23/FusedBatchNormV3_1/add(Add) <-- conv2d_23/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231156: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_33/LeakyRelu(LeakyRelu) <-- batch_normalization_24/FusedBatchNormV3_1/add(Add) <-- conv2d_24/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231172: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_35/LeakyRelu(LeakyRelu) <-- batch_normalization_25/FusedBatchNormV3_1/add(Add) <-- conv2d_25/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231188: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_36/LeakyRelu(LeakyRelu) <-- batch_normalization_26/FusedBatchNormV3_1/add(Add) <-- conv2d_26/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231203: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_89/LeakyRelu(LeakyRelu) <-- batch_normalization_62/FusedBatchNormV3_1/add(Add) <-- conv2d_62/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231220: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_38/LeakyRelu(LeakyRelu) <-- batch_normalization_27/FusedBatchNormV3_1/add(Add) <-- conv2d_27/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231235: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_39/LeakyRelu(LeakyRelu) <-- batch_normalization_28/FusedBatchNormV3_1/add(Add) <-- conv2d_28/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231251: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_40/LeakyRelu(LeakyRelu) <-- batch_normalization_29/FusedBatchNormV3_1/add(Add) <-- conv2d_29/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231266: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_42/LeakyRelu(LeakyRelu) <-- batch_normalization_30/FusedBatchNormV3_1/add(Add) <-- conv2d_30/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231282: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_43/LeakyRelu(LeakyRelu) <-- batch_normalization_31/FusedBatchNormV3_1/add(Add) <-- conv2d_31/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231304: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_45/LeakyRelu(LeakyRelu) <-- batch_normalization_32/FusedBatchNormV3_1/add(Add) <-- conv2d_32/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231320: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_46/LeakyRelu(LeakyRelu) <-- batch_normalization_33/FusedBatchNormV3_1/add(Add) <-- conv2d_33/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231335: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_48/LeakyRelu(LeakyRelu) <-- batch_normalization_34/FusedBatchNormV3_1/add(Add) <-- conv2d_34/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231351: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_49/LeakyRelu(LeakyRelu) <-- batch_normalization_35/FusedBatchNormV3_1/add(Add) <-- conv2d_35/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231366: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_51/LeakyRelu(LeakyRelu) <-- batch_normalization_36/FusedBatchNormV3_1/add(Add) <-- conv2d_36/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231381: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_52/LeakyRelu(LeakyRelu) <-- batch_normalization_37/FusedBatchNormV3_1/add(Add) <-- conv2d_37/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231396: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_54/LeakyRelu(LeakyRelu) <-- batch_normalization_38/FusedBatchNormV3_1/add(Add) <-- conv2d_38/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231412: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_55/LeakyRelu(LeakyRelu) <-- batch_normalization_39/FusedBatchNormV3_1/add(Add) <-- conv2d_39/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231427: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_57/LeakyRelu(LeakyRelu) <-- batch_normalization_40/FusedBatchNormV3_1/add(Add) <-- conv2d_40/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231442: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_58/LeakyRelu(LeakyRelu) <-- batch_normalization_41/FusedBatchNormV3_1/add(Add) <-- conv2d_41/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231457: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_60/LeakyRelu(LeakyRelu) <-- batch_normalization_42/FusedBatchNormV3_1/add(Add) <-- conv2d_42/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231472: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_61/LeakyRelu(LeakyRelu) <-- batch_normalization_43/FusedBatchNormV3_1/add(Add) <-- conv2d_43/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231501: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_90/LeakyRelu(LeakyRelu) <-- batch_normalization_63/FusedBatchNormV3_1/add(Add) <-- conv2d_63/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231533: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_63/LeakyRelu(LeakyRelu) <-- batch_normalization_44/FusedBatchNormV3_1/add(Add) <-- conv2d_44/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231548: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_64/LeakyRelu(LeakyRelu) <-- batch_normalization_45/FusedBatchNormV3_1/add(Add) <-- conv2d_45/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231563: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_65/LeakyRelu(LeakyRelu) <-- batch_normalization_46/FusedBatchNormV3_1/add(Add) <-- conv2d_46/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231579: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_67/LeakyRelu(LeakyRelu) <-- batch_normalization_47/FusedBatchNormV3_1/add(Add) <-- conv2d_47/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231594: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_68/LeakyRelu(LeakyRelu) <-- batch_normalization_48/FusedBatchNormV3_1/add(Add) <-- conv2d_48/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231609: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_70/LeakyRelu(LeakyRelu) <-- batch_normalization_49/FusedBatchNormV3_1/add(Add) <-- conv2d_49/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231625: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_71/LeakyRelu(LeakyRelu) <-- batch_normalization_50/FusedBatchNormV3_1/add(Add) <-- conv2d_50/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231641: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_73/LeakyRelu(LeakyRelu) <-- batch_normalization_51/FusedBatchNormV3_1/add(Add) <-- conv2d_51/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231656: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_74/LeakyRelu(LeakyRelu) <-- batch_normalization_52/FusedBatchNormV3_1/add(Add) <-- conv2d_52/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231672: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_76/LeakyRelu(LeakyRelu) <-- batch_normalization_53/FusedBatchNormV3_1/add(Add) <-- conv2d_53/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231687: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_77/LeakyRelu(LeakyRelu) <-- batch_normalization_54/FusedBatchNormV3_1/add(Add) <-- conv2d_54/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231703: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_79/LeakyRelu(LeakyRelu) <-- batch_normalization_55/FusedBatchNormV3_1/add(Add) <-- conv2d_55/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231718: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_80/LeakyRelu(LeakyRelu) <-- batch_normalization_56/FusedBatchNormV3_1/add(Add) <-- conv2d_56/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231734: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_82/LeakyRelu(LeakyRelu) <-- batch_normalization_57/FusedBatchNormV3_1/add(Add) <-- conv2d_57/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231750: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_83/LeakyRelu(LeakyRelu) <-- batch_normalization_58/FusedBatchNormV3_1/add(Add) <-- conv2d_58/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231765: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_85/LeakyRelu(LeakyRelu) <-- batch_normalization_59/FusedBatchNormV3_1/add(Add) <-- conv2d_59/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231781: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_86/LeakyRelu(LeakyRelu) <-- batch_normalization_60/FusedBatchNormV3_1/add(Add) <-- conv2d_60/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231796: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_91/LeakyRelu(LeakyRelu) <-- batch_normalization_64/FusedBatchNormV3_1/add(Add) <-- conv2d_64/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231813: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_92/LeakyRelu(LeakyRelu) <-- batch_normalization_65/FusedBatchNormV3_1/add(Add) <-- conv2d_65/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231828: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_93/LeakyRelu(LeakyRelu) <-- batch_normalization_66/FusedBatchNormV3_1/add(Add) <-- conv2d_66/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231844: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_94/LeakyRelu(LeakyRelu) <-- batch_normalization_67/FusedBatchNormV3_1/add(Add) <-- conv2d_67/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.231867: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_95/LeakyRelu(LeakyRelu) <-- batch_normalization_68/FusedBatchNormV3_1/add(Add) <-- conv2d_68/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.232952: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_1/LeakyRelu(LeakyRelu) <-- batch_normalization_1/FusedBatchNormV3_1/add(Add) <-- conv2d_1/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.232971: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_2/LeakyRelu(LeakyRelu) <-- batch_normalization_2/FusedBatchNormV3_1/add(Add) <-- conv2d_2/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.232985: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_3/LeakyRelu(LeakyRelu) <-- batch_normalization_3/FusedBatchNormV3_1/add(Add) <-- conv2d_3/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.232999: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_4/LeakyRelu(LeakyRelu) <-- batch_normalization_4/FusedBatchNormV3_1/add(Add) <-- conv2d_4/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233013: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_6/LeakyRelu(LeakyRelu) <-- batch_normalization_5/FusedBatchNormV3_1/add(Add) <-- conv2d_5/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233027: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_7/LeakyRelu(LeakyRelu) <-- batch_normalization_6/FusedBatchNormV3_1/add(Add) <-- conv2d_6/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233042: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_8/LeakyRelu(LeakyRelu) <-- batch_normalization_7/FusedBatchNormV3_1/add(Add) <-- conv2d_7/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233057: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_10/LeakyRelu(LeakyRelu) <-- batch_normalization_8/FusedBatchNormV3_1/add(Add) <-- conv2d_8/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233071: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_11/LeakyRelu(LeakyRelu) <-- batch_normalization_9/FusedBatchNormV3_1/add(Add) <-- conv2d_9/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233086: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_88/LeakyRelu(LeakyRelu) <-- batch_normalization_61/FusedBatchNormV3_1/add(Add) <-- conv2d_61/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233101: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_13/LeakyRelu(LeakyRelu) <-- batch_normalization_10/FusedBatchNormV3_1/add(Add) <-- conv2d_10/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233115: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_14/LeakyRelu(LeakyRelu) <-- batch_normalization_11/FusedBatchNormV3_1/add(Add) <-- conv2d_11/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233129: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_15/LeakyRelu(LeakyRelu) <-- batch_normalization_12/FusedBatchNormV3_1/add(Add) <-- conv2d_12/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233143: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_17/LeakyRelu(LeakyRelu) <-- batch_normalization_13/FusedBatchNormV3_1/add(Add) <-- conv2d_13/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233158: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_18/LeakyRelu(LeakyRelu) <-- batch_normalization_14/FusedBatchNormV3_1/add(Add) <-- conv2d_14/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233173: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_20/LeakyRelu(LeakyRelu) <-- batch_normalization_15/FusedBatchNormV3_1/add(Add) <-- conv2d_15/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233187: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_21/LeakyRelu(LeakyRelu) <-- batch_normalization_16/FusedBatchNormV3_1/add(Add) <-- conv2d_16/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233202: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_23/LeakyRelu(LeakyRelu) <-- batch_normalization_17/FusedBatchNormV3_1/add(Add) <-- conv2d_17/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233216: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_24/LeakyRelu(LeakyRelu) <-- batch_normalization_18/FusedBatchNormV3_1/add(Add) <-- conv2d_18/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233229: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_26/LeakyRelu(LeakyRelu) <-- batch_normalization_19/FusedBatchNormV3_1/add(Add) <-- conv2d_19/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233243: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_27/LeakyRelu(LeakyRelu) <-- batch_normalization_20/FusedBatchNormV3_1/add(Add) <-- conv2d_20/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233257: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_29/LeakyRelu(LeakyRelu) <-- batch_normalization_21/FusedBatchNormV3_1/add(Add) <-- conv2d_21/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233271: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_30/LeakyRelu(LeakyRelu) <-- batch_normalization_22/FusedBatchNormV3_1/add(Add) <-- conv2d_22/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233284: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_32/LeakyRelu(LeakyRelu) <-- batch_normalization_23/FusedBatchNormV3_1/add(Add) <-- conv2d_23/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233298: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_33/LeakyRelu(LeakyRelu) <-- batch_normalization_24/FusedBatchNormV3_1/add(Add) <-- conv2d_24/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233312: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_35/LeakyRelu(LeakyRelu) <-- batch_normalization_25/FusedBatchNormV3_1/add(Add) <-- conv2d_25/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233325: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_36/LeakyRelu(LeakyRelu) <-- batch_normalization_26/FusedBatchNormV3_1/add(Add) <-- conv2d_26/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233339: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_89/LeakyRelu(LeakyRelu) <-- batch_normalization_62/FusedBatchNormV3_1/add(Add) <-- conv2d_62/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233352: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_38/LeakyRelu(LeakyRelu) <-- batch_normalization_27/FusedBatchNormV3_1/add(Add) <-- conv2d_27/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233366: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_39/LeakyRelu(LeakyRelu) <-- batch_normalization_28/FusedBatchNormV3_1/add(Add) <-- conv2d_28/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233380: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_40/LeakyRelu(LeakyRelu) <-- batch_normalization_29/FusedBatchNormV3_1/add(Add) <-- conv2d_29/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233393: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_42/LeakyRelu(LeakyRelu) <-- batch_normalization_30/FusedBatchNormV3_1/add(Add) <-- conv2d_30/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233408: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_43/LeakyRelu(LeakyRelu) <-- batch_normalization_31/FusedBatchNormV3_1/add(Add) <-- conv2d_31/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233421: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_45/LeakyRelu(LeakyRelu) <-- batch_normalization_32/FusedBatchNormV3_1/add(Add) <-- conv2d_32/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233435: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_46/LeakyRelu(LeakyRelu) <-- batch_normalization_33/FusedBatchNormV3_1/add(Add) <-- conv2d_33/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233449: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_48/LeakyRelu(LeakyRelu) <-- batch_normalization_34/FusedBatchNormV3_1/add(Add) <-- conv2d_34/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233463: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_49/LeakyRelu(LeakyRelu) <-- batch_normalization_35/FusedBatchNormV3_1/add(Add) <-- conv2d_35/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233477: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_51/LeakyRelu(LeakyRelu) <-- batch_normalization_36/FusedBatchNormV3_1/add(Add) <-- conv2d_36/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233491: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_52/LeakyRelu(LeakyRelu) <-- batch_normalization_37/FusedBatchNormV3_1/add(Add) <-- conv2d_37/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233505: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_54/LeakyRelu(LeakyRelu) <-- batch_normalization_38/FusedBatchNormV3_1/add(Add) <-- conv2d_38/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233519: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_55/LeakyRelu(LeakyRelu) <-- batch_normalization_39/FusedBatchNormV3_1/add(Add) <-- conv2d_39/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233532: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_57/LeakyRelu(LeakyRelu) <-- batch_normalization_40/FusedBatchNormV3_1/add(Add) <-- conv2d_40/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233546: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_58/LeakyRelu(LeakyRelu) <-- batch_normalization_41/FusedBatchNormV3_1/add(Add) <-- conv2d_41/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233560: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_60/LeakyRelu(LeakyRelu) <-- batch_normalization_42/FusedBatchNormV3_1/add(Add) <-- conv2d_42/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233573: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_61/LeakyRelu(LeakyRelu) <-- batch_normalization_43/FusedBatchNormV3_1/add(Add) <-- conv2d_43/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233587: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_90/LeakyRelu(LeakyRelu) <-- batch_normalization_63/FusedBatchNormV3_1/add(Add) <-- conv2d_63/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233600: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_63/LeakyRelu(LeakyRelu) <-- batch_normalization_44/FusedBatchNormV3_1/add(Add) <-- conv2d_44/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233614: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_64/LeakyRelu(LeakyRelu) <-- batch_normalization_45/FusedBatchNormV3_1/add(Add) <-- conv2d_45/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233628: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_65/LeakyRelu(LeakyRelu) <-- batch_normalization_46/FusedBatchNormV3_1/add(Add) <-- conv2d_46/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233641: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_67/LeakyRelu(LeakyRelu) <-- batch_normalization_47/FusedBatchNormV3_1/add(Add) <-- conv2d_47/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233655: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_68/LeakyRelu(LeakyRelu) <-- batch_normalization_48/FusedBatchNormV3_1/add(Add) <-- conv2d_48/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233669: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_70/LeakyRelu(LeakyRelu) <-- batch_normalization_49/FusedBatchNormV3_1/add(Add) <-- conv2d_49/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233682: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_71/LeakyRelu(LeakyRelu) <-- batch_normalization_50/FusedBatchNormV3_1/add(Add) <-- conv2d_50/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233696: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_73/LeakyRelu(LeakyRelu) <-- batch_normalization_51/FusedBatchNormV3_1/add(Add) <-- conv2d_51/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233710: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_74/LeakyRelu(LeakyRelu) <-- batch_normalization_52/FusedBatchNormV3_1/add(Add) <-- conv2d_52/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233724: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_76/LeakyRelu(LeakyRelu) <-- batch_normalization_53/FusedBatchNormV3_1/add(Add) <-- conv2d_53/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233738: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_77/LeakyRelu(LeakyRelu) <-- batch_normalization_54/FusedBatchNormV3_1/add(Add) <-- conv2d_54/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233752: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_79/LeakyRelu(LeakyRelu) <-- batch_normalization_55/FusedBatchNormV3_1/add(Add) <-- conv2d_55/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233765: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_80/LeakyRelu(LeakyRelu) <-- batch_normalization_56/FusedBatchNormV3_1/add(Add) <-- conv2d_56/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233779: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_82/LeakyRelu(LeakyRelu) <-- batch_normalization_57/FusedBatchNormV3_1/add(Add) <-- conv2d_57/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233793: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_83/LeakyRelu(LeakyRelu) <-- batch_normalization_58/FusedBatchNormV3_1/add(Add) <-- conv2d_58/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233806: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_85/LeakyRelu(LeakyRelu) <-- batch_normalization_59/FusedBatchNormV3_1/add(Add) <-- conv2d_59/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233821: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_86/LeakyRelu(LeakyRelu) <-- batch_normalization_60/FusedBatchNormV3_1/add(Add) <-- conv2d_60/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233835: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_91/LeakyRelu(LeakyRelu) <-- batch_normalization_64/FusedBatchNormV3_1/add(Add) <-- conv2d_64/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233848: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_92/LeakyRelu(LeakyRelu) <-- batch_normalization_65/FusedBatchNormV3_1/add(Add) <-- conv2d_65/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233865: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_93/LeakyRelu(LeakyRelu) <-- batch_normalization_66/FusedBatchNormV3_1/add(Add) <-- conv2d_66/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233879: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_94/LeakyRelu(LeakyRelu) <-- batch_normalization_67/FusedBatchNormV3_1/add(Add) <-- conv2d_67/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.233892: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_95/LeakyRelu(LeakyRelu) <-- batch_normalization_68/FusedBatchNormV3_1/add(Add) <-- conv2d_68/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.234911: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_1/LeakyRelu(LeakyRelu) <-- batch_normalization_1/FusedBatchNormV3_1/add(Add) <-- conv2d_1/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.234928: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_2/LeakyRelu(LeakyRelu) <-- batch_normalization_2/FusedBatchNormV3_1/add(Add) <-- conv2d_2/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.234942: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_3/LeakyRelu(LeakyRelu) <-- batch_normalization_3/FusedBatchNormV3_1/add(Add) <-- conv2d_3/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.234956: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_4/LeakyRelu(LeakyRelu) <-- batch_normalization_4/FusedBatchNormV3_1/add(Add) <-- conv2d_4/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.234970: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_6/LeakyRelu(LeakyRelu) <-- batch_normalization_5/FusedBatchNormV3_1/add(Add) <-- conv2d_5/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.234983: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_7/LeakyRelu(LeakyRelu) <-- batch_normalization_6/FusedBatchNormV3_1/add(Add) <-- conv2d_6/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.234997: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_8/LeakyRelu(LeakyRelu) <-- batch_normalization_7/FusedBatchNormV3_1/add(Add) <-- conv2d_7/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235010: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_10/LeakyRelu(LeakyRelu) <-- batch_normalization_8/FusedBatchNormV3_1/add(Add) <-- conv2d_8/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235022: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_11/LeakyRelu(LeakyRelu) <-- batch_normalization_9/FusedBatchNormV3_1/add(Add) <-- conv2d_9/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235036: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_88/LeakyRelu(LeakyRelu) <-- batch_normalization_61/FusedBatchNormV3_1/add(Add) <-- conv2d_61/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235049: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_13/LeakyRelu(LeakyRelu) <-- batch_normalization_10/FusedBatchNormV3_1/add(Add) <-- conv2d_10/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235063: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_14/LeakyRelu(LeakyRelu) <-- batch_normalization_11/FusedBatchNormV3_1/add(Add) <-- conv2d_11/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235075: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_15/LeakyRelu(LeakyRelu) <-- batch_normalization_12/FusedBatchNormV3_1/add(Add) <-- conv2d_12/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235088: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_17/LeakyRelu(LeakyRelu) <-- batch_normalization_13/FusedBatchNormV3_1/add(Add) <-- conv2d_13/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235101: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_18/LeakyRelu(LeakyRelu) <-- batch_normalization_14/FusedBatchNormV3_1/add(Add) <-- conv2d_14/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235114: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_20/LeakyRelu(LeakyRelu) <-- batch_normalization_15/FusedBatchNormV3_1/add(Add) <-- conv2d_15/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235126: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_21/LeakyRelu(LeakyRelu) <-- batch_normalization_16/FusedBatchNormV3_1/add(Add) <-- conv2d_16/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235139: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_23/LeakyRelu(LeakyRelu) <-- batch_normalization_17/FusedBatchNormV3_1/add(Add) <-- conv2d_17/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235152: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_24/LeakyRelu(LeakyRelu) <-- batch_normalization_18/FusedBatchNormV3_1/add(Add) <-- conv2d_18/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235164: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_26/LeakyRelu(LeakyRelu) <-- batch_normalization_19/FusedBatchNormV3_1/add(Add) <-- conv2d_19/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235176: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_27/LeakyRelu(LeakyRelu) <-- batch_normalization_20/FusedBatchNormV3_1/add(Add) <-- conv2d_20/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235189: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_29/LeakyRelu(LeakyRelu) <-- batch_normalization_21/FusedBatchNormV3_1/add(Add) <-- conv2d_21/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235202: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_30/LeakyRelu(LeakyRelu) <-- batch_normalization_22/FusedBatchNormV3_1/add(Add) <-- conv2d_22/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235214: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_32/LeakyRelu(LeakyRelu) <-- batch_normalization_23/FusedBatchNormV3_1/add(Add) <-- conv2d_23/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235228: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_33/LeakyRelu(LeakyRelu) <-- batch_normalization_24/FusedBatchNormV3_1/add(Add) <-- conv2d_24/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235241: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_35/LeakyRelu(LeakyRelu) <-- batch_normalization_25/FusedBatchNormV3_1/add(Add) <-- conv2d_25/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235254: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_36/LeakyRelu(LeakyRelu) <-- batch_normalization_26/FusedBatchNormV3_1/add(Add) <-- conv2d_26/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235266: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_89/LeakyRelu(LeakyRelu) <-- batch_normalization_62/FusedBatchNormV3_1/add(Add) <-- conv2d_62/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235280: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_38/LeakyRelu(LeakyRelu) <-- batch_normalization_27/FusedBatchNormV3_1/add(Add) <-- conv2d_27/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235293: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_39/LeakyRelu(LeakyRelu) <-- batch_normalization_28/FusedBatchNormV3_1/add(Add) <-- conv2d_28/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235306: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_40/LeakyRelu(LeakyRelu) <-- batch_normalization_29/FusedBatchNormV3_1/add(Add) <-- conv2d_29/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235319: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_42/LeakyRelu(LeakyRelu) <-- batch_normalization_30/FusedBatchNormV3_1/add(Add) <-- conv2d_30/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235333: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_43/LeakyRelu(LeakyRelu) <-- batch_normalization_31/FusedBatchNormV3_1/add(Add) <-- conv2d_31/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235346: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_45/LeakyRelu(LeakyRelu) <-- batch_normalization_32/FusedBatchNormV3_1/add(Add) <-- conv2d_32/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235359: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_46/LeakyRelu(LeakyRelu) <-- batch_normalization_33/FusedBatchNormV3_1/add(Add) <-- conv2d_33/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235373: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_48/LeakyRelu(LeakyRelu) <-- batch_normalization_34/FusedBatchNormV3_1/add(Add) <-- conv2d_34/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235386: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_49/LeakyRelu(LeakyRelu) <-- batch_normalization_35/FusedBatchNormV3_1/add(Add) <-- conv2d_35/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235399: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_51/LeakyRelu(LeakyRelu) <-- batch_normalization_36/FusedBatchNormV3_1/add(Add) <-- conv2d_36/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235412: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_52/LeakyRelu(LeakyRelu) <-- batch_normalization_37/FusedBatchNormV3_1/add(Add) <-- conv2d_37/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235425: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_54/LeakyRelu(LeakyRelu) <-- batch_normalization_38/FusedBatchNormV3_1/add(Add) <-- conv2d_38/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235439: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_55/LeakyRelu(LeakyRelu) <-- batch_normalization_39/FusedBatchNormV3_1/add(Add) <-- conv2d_39/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235452: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_57/LeakyRelu(LeakyRelu) <-- batch_normalization_40/FusedBatchNormV3_1/add(Add) <-- conv2d_40/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235465: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_58/LeakyRelu(LeakyRelu) <-- batch_normalization_41/FusedBatchNormV3_1/add(Add) <-- conv2d_41/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235479: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_60/LeakyRelu(LeakyRelu) <-- batch_normalization_42/FusedBatchNormV3_1/add(Add) <-- conv2d_42/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235492: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_61/LeakyRelu(LeakyRelu) <-- batch_normalization_43/FusedBatchNormV3_1/add(Add) <-- conv2d_43/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235505: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_90/LeakyRelu(LeakyRelu) <-- batch_normalization_63/FusedBatchNormV3_1/add(Add) <-- conv2d_63/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235518: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_63/LeakyRelu(LeakyRelu) <-- batch_normalization_44/FusedBatchNormV3_1/add(Add) <-- conv2d_44/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235532: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_64/LeakyRelu(LeakyRelu) <-- batch_normalization_45/FusedBatchNormV3_1/add(Add) <-- conv2d_45/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235545: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_65/LeakyRelu(LeakyRelu) <-- batch_normalization_46/FusedBatchNormV3_1/add(Add) <-- conv2d_46/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235558: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_67/LeakyRelu(LeakyRelu) <-- batch_normalization_47/FusedBatchNormV3_1/add(Add) <-- conv2d_47/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235572: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_68/LeakyRelu(LeakyRelu) <-- batch_normalization_48/FusedBatchNormV3_1/add(Add) <-- conv2d_48/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235585: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_70/LeakyRelu(LeakyRelu) <-- batch_normalization_49/FusedBatchNormV3_1/add(Add) <-- conv2d_49/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235598: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_71/LeakyRelu(LeakyRelu) <-- batch_normalization_50/FusedBatchNormV3_1/add(Add) <-- conv2d_50/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235611: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_73/LeakyRelu(LeakyRelu) <-- batch_normalization_51/FusedBatchNormV3_1/add(Add) <-- conv2d_51/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235624: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_74/LeakyRelu(LeakyRelu) <-- batch_normalization_52/FusedBatchNormV3_1/add(Add) <-- conv2d_52/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235637: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_76/LeakyRelu(LeakyRelu) <-- batch_normalization_53/FusedBatchNormV3_1/add(Add) <-- conv2d_53/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235650: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_77/LeakyRelu(LeakyRelu) <-- batch_normalization_54/FusedBatchNormV3_1/add(Add) <-- conv2d_54/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235663: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_79/LeakyRelu(LeakyRelu) <-- batch_normalization_55/FusedBatchNormV3_1/add(Add) <-- conv2d_55/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235677: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_80/LeakyRelu(LeakyRelu) <-- batch_normalization_56/FusedBatchNormV3_1/add(Add) <-- conv2d_56/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235690: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_82/LeakyRelu(LeakyRelu) <-- batch_normalization_57/FusedBatchNormV3_1/add(Add) <-- conv2d_57/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235703: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_83/LeakyRelu(LeakyRelu) <-- batch_normalization_58/FusedBatchNormV3_1/add(Add) <-- conv2d_58/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235716: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_85/LeakyRelu(LeakyRelu) <-- batch_normalization_59/FusedBatchNormV3_1/add(Add) <-- conv2d_59/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235729: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_86/LeakyRelu(LeakyRelu) <-- batch_normalization_60/FusedBatchNormV3_1/add(Add) <-- conv2d_60/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235743: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_91/LeakyRelu(LeakyRelu) <-- batch_normalization_64/FusedBatchNormV3_1/add(Add) <-- conv2d_64/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235756: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_92/LeakyRelu(LeakyRelu) <-- batch_normalization_65/FusedBatchNormV3_1/add(Add) <-- conv2d_65/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235769: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_93/LeakyRelu(LeakyRelu) <-- batch_normalization_66/FusedBatchNormV3_1/add(Add) <-- conv2d_66/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235782: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_94/LeakyRelu(LeakyRelu) <-- batch_normalization_67/FusedBatchNormV3_1/add(Add) <-- conv2d_67/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.235795: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_95/LeakyRelu(LeakyRelu) <-- batch_normalization_68/FusedBatchNormV3_1/add(Add) <-- conv2d_68/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236865: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_1/LeakyRelu(LeakyRelu) <-- batch_normalization_1/FusedBatchNormV3_1/add(Add) <-- conv2d_1/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236883: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_2/LeakyRelu(LeakyRelu) <-- batch_normalization_2/FusedBatchNormV3_1/add(Add) <-- conv2d_2/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236910: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_3/LeakyRelu(LeakyRelu) <-- batch_normalization_3/FusedBatchNormV3_1/add(Add) <-- conv2d_3/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236924: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_4/LeakyRelu(LeakyRelu) <-- batch_normalization_4/FusedBatchNormV3_1/add(Add) <-- conv2d_4/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236937: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_6/LeakyRelu(LeakyRelu) <-- batch_normalization_5/FusedBatchNormV3_1/add(Add) <-- conv2d_5/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236951: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_7/LeakyRelu(LeakyRelu) <-- batch_normalization_6/FusedBatchNormV3_1/add(Add) <-- conv2d_6/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236964: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_8/LeakyRelu(LeakyRelu) <-- batch_normalization_7/FusedBatchNormV3_1/add(Add) <-- conv2d_7/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236978: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_10/LeakyRelu(LeakyRelu) <-- batch_normalization_8/FusedBatchNormV3_1/add(Add) <-- conv2d_8/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.236991: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_11/LeakyRelu(LeakyRelu) <-- batch_normalization_9/FusedBatchNormV3_1/add(Add) <-- conv2d_9/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237005: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_88/LeakyRelu(LeakyRelu) <-- batch_normalization_61/FusedBatchNormV3_1/add(Add) <-- conv2d_61/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237018: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_13/LeakyRelu(LeakyRelu) <-- batch_normalization_10/FusedBatchNormV3_1/add(Add) <-- conv2d_10/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237031: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_14/LeakyRelu(LeakyRelu) <-- batch_normalization_11/FusedBatchNormV3_1/add(Add) <-- conv2d_11/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237045: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_15/LeakyRelu(LeakyRelu) <-- batch_normalization_12/FusedBatchNormV3_1/add(Add) <-- conv2d_12/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237059: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_17/LeakyRelu(LeakyRelu) <-- batch_normalization_13/FusedBatchNormV3_1/add(Add) <-- conv2d_13/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237088: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_18/LeakyRelu(LeakyRelu) <-- batch_normalization_14/FusedBatchNormV3_1/add(Add) <-- conv2d_14/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237102: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_20/LeakyRelu(LeakyRelu) <-- batch_normalization_15/FusedBatchNormV3_1/add(Add) <-- conv2d_15/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237116: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_21/LeakyRelu(LeakyRelu) <-- batch_normalization_16/FusedBatchNormV3_1/add(Add) <-- conv2d_16/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237143: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_23/LeakyRelu(LeakyRelu) <-- batch_normalization_17/FusedBatchNormV3_1/add(Add) <-- conv2d_17/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237156: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_24/LeakyRelu(LeakyRelu) <-- batch_normalization_18/FusedBatchNormV3_1/add(Add) <-- conv2d_18/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237170: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_26/LeakyRelu(LeakyRelu) <-- batch_normalization_19/FusedBatchNormV3_1/add(Add) <-- conv2d_19/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237183: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_27/LeakyRelu(LeakyRelu) <-- batch_normalization_20/FusedBatchNormV3_1/add(Add) <-- conv2d_20/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237197: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_29/LeakyRelu(LeakyRelu) <-- batch_normalization_21/FusedBatchNormV3_1/add(Add) <-- conv2d_21/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237210: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_30/LeakyRelu(LeakyRelu) <-- batch_normalization_22/FusedBatchNormV3_1/add(Add) <-- conv2d_22/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237224: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_32/LeakyRelu(LeakyRelu) <-- batch_normalization_23/FusedBatchNormV3_1/add(Add) <-- conv2d_23/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237237: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_33/LeakyRelu(LeakyRelu) <-- batch_normalization_24/FusedBatchNormV3_1/add(Add) <-- conv2d_24/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237250: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_35/LeakyRelu(LeakyRelu) <-- batch_normalization_25/FusedBatchNormV3_1/add(Add) <-- conv2d_25/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237263: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_36/LeakyRelu(LeakyRelu) <-- batch_normalization_26/FusedBatchNormV3_1/add(Add) <-- conv2d_26/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237277: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_89/LeakyRelu(LeakyRelu) <-- batch_normalization_62/FusedBatchNormV3_1/add(Add) <-- conv2d_62/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237290: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_38/LeakyRelu(LeakyRelu) <-- batch_normalization_27/FusedBatchNormV3_1/add(Add) <-- conv2d_27/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237320: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_39/LeakyRelu(LeakyRelu) <-- batch_normalization_28/FusedBatchNormV3_1/add(Add) <-- conv2d_28/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237334: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_40/LeakyRelu(LeakyRelu) <-- batch_normalization_29/FusedBatchNormV3_1/add(Add) <-- conv2d_29/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237347: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_42/LeakyRelu(LeakyRelu) <-- batch_normalization_30/FusedBatchNormV3_1/add(Add) <-- conv2d_30/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237361: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_43/LeakyRelu(LeakyRelu) <-- batch_normalization_31/FusedBatchNormV3_1/add(Add) <-- conv2d_31/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237375: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_45/LeakyRelu(LeakyRelu) <-- batch_normalization_32/FusedBatchNormV3_1/add(Add) <-- conv2d_32/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237389: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_46/LeakyRelu(LeakyRelu) <-- batch_normalization_33/FusedBatchNormV3_1/add(Add) <-- conv2d_33/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237402: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_48/LeakyRelu(LeakyRelu) <-- batch_normalization_34/FusedBatchNormV3_1/add(Add) <-- conv2d_34/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237416: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_49/LeakyRelu(LeakyRelu) <-- batch_normalization_35/FusedBatchNormV3_1/add(Add) <-- conv2d_35/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237430: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_51/LeakyRelu(LeakyRelu) <-- batch_normalization_36/FusedBatchNormV3_1/add(Add) <-- conv2d_36/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237444: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_52/LeakyRelu(LeakyRelu) <-- batch_normalization_37/FusedBatchNormV3_1/add(Add) <-- conv2d_37/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237457: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_54/LeakyRelu(LeakyRelu) <-- batch_normalization_38/FusedBatchNormV3_1/add(Add) <-- conv2d_38/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237471: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_55/LeakyRelu(LeakyRelu) <-- batch_normalization_39/FusedBatchNormV3_1/add(Add) <-- conv2d_39/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237498: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_57/LeakyRelu(LeakyRelu) <-- batch_normalization_40/FusedBatchNormV3_1/add(Add) <-- conv2d_40/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237512: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_58/LeakyRelu(LeakyRelu) <-- batch_normalization_41/FusedBatchNormV3_1/add(Add) <-- conv2d_41/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237526: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_60/LeakyRelu(LeakyRelu) <-- batch_normalization_42/FusedBatchNormV3_1/add(Add) <-- conv2d_42/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237539: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_61/LeakyRelu(LeakyRelu) <-- batch_normalization_43/FusedBatchNormV3_1/add(Add) <-- conv2d_43/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237553: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_90/LeakyRelu(LeakyRelu) <-- batch_normalization_63/FusedBatchNormV3_1/add(Add) <-- conv2d_63/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237566: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_63/LeakyRelu(LeakyRelu) <-- batch_normalization_44/FusedBatchNormV3_1/add(Add) <-- conv2d_44/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237579: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_64/LeakyRelu(LeakyRelu) <-- batch_normalization_45/FusedBatchNormV3_1/add(Add) <-- conv2d_45/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237593: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_65/LeakyRelu(LeakyRelu) <-- batch_normalization_46/FusedBatchNormV3_1/add(Add) <-- conv2d_46/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237606: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_67/LeakyRelu(LeakyRelu) <-- batch_normalization_47/FusedBatchNormV3_1/add(Add) <-- conv2d_47/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237619: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_68/LeakyRelu(LeakyRelu) <-- batch_normalization_48/FusedBatchNormV3_1/add(Add) <-- conv2d_48/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237632: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_70/LeakyRelu(LeakyRelu) <-- batch_normalization_49/FusedBatchNormV3_1/add(Add) <-- conv2d_49/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237646: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_71/LeakyRelu(LeakyRelu) <-- batch_normalization_50/FusedBatchNormV3_1/add(Add) <-- conv2d_50/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237659: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_73/LeakyRelu(LeakyRelu) <-- batch_normalization_51/FusedBatchNormV3_1/add(Add) <-- conv2d_51/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237673: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_74/LeakyRelu(LeakyRelu) <-- batch_normalization_52/FusedBatchNormV3_1/add(Add) <-- conv2d_52/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237686: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_76/LeakyRelu(LeakyRelu) <-- batch_normalization_53/FusedBatchNormV3_1/add(Add) <-- conv2d_53/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237699: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_77/LeakyRelu(LeakyRelu) <-- batch_normalization_54/FusedBatchNormV3_1/add(Add) <-- conv2d_54/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237712: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_79/LeakyRelu(LeakyRelu) <-- batch_normalization_55/FusedBatchNormV3_1/add(Add) <-- conv2d_55/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237726: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_80/LeakyRelu(LeakyRelu) <-- batch_normalization_56/FusedBatchNormV3_1/add(Add) <-- conv2d_56/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237739: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_82/LeakyRelu(LeakyRelu) <-- batch_normalization_57/FusedBatchNormV3_1/add(Add) <-- conv2d_57/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237752: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_83/LeakyRelu(LeakyRelu) <-- batch_normalization_58/FusedBatchNormV3_1/add(Add) <-- conv2d_58/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237766: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_85/LeakyRelu(LeakyRelu) <-- batch_normalization_59/FusedBatchNormV3_1/add(Add) <-- conv2d_59/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237779: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_86/LeakyRelu(LeakyRelu) <-- batch_normalization_60/FusedBatchNormV3_1/add(Add) <-- conv2d_60/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237792: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_91/LeakyRelu(LeakyRelu) <-- batch_normalization_64/FusedBatchNormV3_1/add(Add) <-- conv2d_64/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237806: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_92/LeakyRelu(LeakyRelu) <-- batch_normalization_65/FusedBatchNormV3_1/add(Add) <-- conv2d_65/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237819: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_93/LeakyRelu(LeakyRelu) <-- batch_normalization_66/FusedBatchNormV3_1/add(Add) <-- conv2d_66/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237833: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_94/LeakyRelu(LeakyRelu) <-- batch_normalization_67/FusedBatchNormV3_1/add(Add) <-- conv2d_67/convolution(Conv2D)\r\n",
      "2020-10-12 00:24:51.237846: W tensorflow/contrib/decent_q/utils/graph_quantizer.cc:347] Quantize convfc + bias + leakyrelu: leaky_re_lu_95/LeakyRelu(LeakyRelu) <-- batch_normalization_68/FusedBatchNormV3_1/add(Add) <-- conv2d_68/convolution(Conv2D)\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Calibrating for 1 iterations...\n",
      "100% (1 of 1) |##########################| Elapsed Time: 0:01:08 Time:  0:01:08\n",
      "INFO: Calibration Done.\n",
      "INFO: Generating Deploy Model...\n",
      "[DEPLOY WARNING] Node multiply_1/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_2/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_1/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_1/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node zero_padding2d_2/Pad(Type: Pad) is not quantized and cannot be deployed to DPU,because it has unquantized input node: add_1/add. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_2/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_4/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_2/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_2/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_3/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_6/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_3/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_3/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_4/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_8/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_4/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_4/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_5/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_10/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_5/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_5/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_6/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_12/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_6/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_6/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_7/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_14/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_7/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_7/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_8/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_16/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_8/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_8/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_9/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_18/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_9/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_9/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_10/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_20/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_10/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_10/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_11/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_22/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_11/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_11/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_12/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_24/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_12/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_12/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_13/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_26/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_13/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_13/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_14/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_28/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_14/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_14/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_15/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_30/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_15/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_15/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_16/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_32/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_16/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_16/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_17/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_34/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_17/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_17/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_18/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_36/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_18/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_18/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_19/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_38/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_19/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_19/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_20/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_40/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_20/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_20/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_21/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_42/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_21/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_21/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_22/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_44/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_22/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_22/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_23/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_46/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_23/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_23/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_24/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_48/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_24/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_24/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_25/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_50/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_25/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_25/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_26/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_52/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_26/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_26/mul. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node multiply_27/mul(Type: Mul) is not quantized and cannot be deployed to DPU,because it has unquantized input node: dense_54/Sigmoid. Please deploy it on CPU.\n",
      "[DEPLOY WARNING] Node add_27/add(Type: Add) is not quantized and cannot be deployed to DPU,because it has unquantized input node: multiply_27/mul. Please deploy it on CPU.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Deploy Model Generated.\r\n",
      "********************* Quantization Summary *********************      \r\n",
      "INFO: Output:       \r\n",
      "  quantize_eval_model: quantized/quantize_eval_model.pb       \r\n",
      "  deploy_model: quantized/deploy_model.pb\r\n"
     ]
    }
   ],
   "source": [
    "!vai_q_tensorflow quantize \\\n",
    "    --input_frozen_graph frozen.pb \\\n",
    "    --input_fn input_func.calib_input \\\n",
    "    --output_dir quantized \\\n",
    "    --input_nodes input_1 \\\n",
    "    --output_nodes conv2d_69/BiasAdd \\\n",
    "    --input_shapes ?,1024,2048,3 \\\n",
    "    --skip_check 0 \\\n",
    "    --simulate_dpu 1 \\\n",
    "    --calib_iter 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**************************************************\n",
      "* VITIS_AI Compilation - Xilinx Inc.\n",
      "**************************************************\n",
      "\u001b[0;31m[VAI_C][Error] Unrecognized tensorflow op [Mul].\n",
      "\u001b[m\u001b[0;31m[VAI_C][Error] Parsing tensorflow model failed.\n",
      "\u001b[m"
     ]
    }
   ],
   "source": [
    "!vai_c_tensorflow \\\n",
    "    --frozen_pb quantized/deploy_model.pb \\\n",
    "    --arch ../../Ultra96.json \\\n",
    "    --output_dir . \\\n",
    "    --net_name poly_yolo_dnn_quantized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "yolo-v4.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
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